Sections of the StatPages.net (statpages.info and statpages.org) website
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StatPages
Web Pages that Perform Statistical Calculations!
The web pages
listed below comprise a powerful, conveniently-accessible, multi-platform
statistical software package. There are also links to online statistics books,
tutorials, downloadable software, and related resources.
These pages are located on servers all over the world, and are the
result of much cleverness and hard work on the part of some very talented
individuals. So if you find a page useful it would be nice to send the authors a
short e-mail expressing your appreciation for their hard work and generosity in
making this software freely accessible to the world.
Table of Contents for this
page...
- Selecting the right kind of analysis
- "Online Software" Package websites
- Calculators, plotters, function integrators, and
interactive programming environments
- Probability distribution functions: tables, graphs,
random number generators
- Descriptive statistics, histograms, charts
- Confidence intervals, single-population tests
- Sample comparisons: t-tests, ANOVAs, non-parametric
comparisons
- Contingency tables, cross-tabs, Chi-Square tests
- Regression, correlation, least squares
curve-fitting, non-parametric correlation
- Analysis of survival data
- Bayesian Methods
- Other statistical tests and analyses
- Specialized and discipline-specific tests and
analyses
- Power, sample size and experimental design
Other Statistical Resources...
There are a bewildering number of statistical analyses out there, and
choosing the right one for a particular set of data can be a daunting task. Here
are some web pages that can help:
- Statistical Decision Tree, from the developers of the MicrOsiris package. This
is an interactive set of web pages to help you select the right kind of
analysis to perform on your data. It asks you a simple series of questions
about your data (how many variables, etc.), then makes recommendations about
the best test to perform.
- Choosing a Statistical Test, Chapter 37 of Dr. Harvey
Motulsky's book Intuitive Biostatistics.
- Selecting Statistics, by Bill Trochim (Cornell). Another
interactive set of web pages to help you select the right kind of
analysis to perform on your data.
- Statibot (Provided by Dominik Heeb)
- Helps to find the right analysis, based on real data
- Performs the analysis on the real data
- English and German
- Free
As you can see from looking at the StatPages.org web site, there are many
"stand-alone" web pages that are each designed to perform only a single test or
calculation. In addition, some talented individuals and groups have created
coherent website that perform an entire suite of calculations, with a
logical organization and consistent user interface. Each of these web sites is
really a fairly complete online statistical software package in itself. Here are
some of these "comprehensive" statistical analysis web sites:
- Statigraphics Stratus-- a browser-based version of
Stratigraphics statistical software. Provides plotting, probability
distributions, summary statistics, one-, two-, and multiple-sample analysis,
time-series analysis, regression analysis, curve-fitting, attribute estimates,
ANOVAs, Statistical Process Control, smoothing, power/sample-size
calculations, and other statistical analyses.Also provides access to
over 50 applets in which you can enter data, compute statistics, create tables
and graphs, and print out the results. The free "Guest" version supports up to
100 rows and 10 columns of data. For larger data sets, a single-user copy or a
corporate deployment license can be purchased. To use the Guest version, click here.
- OpenEpi Version 2.2 --
OpenEpi is a free, web-based, open source, operating-system-independent series
of programs for use in public health and medicine, providing a number of
epidemiologic and statistical tools. Version 2 (4/25/2007) has a new interface
that presents results without using pop-up windows, and has better
installation methods so that it can be run without an internet connection.
Version 2.2 (2007/11/09) lets users run the software in English, French,
Spanish, or Italian.
- SOCR -- Statistics
Online Computational Resource. A very comprehensive collection of online
calculators and other interactive resources, including: Distributions
(interactive graphs and calculators), Experiments (virtual computer-generated
analogs of popular games and processes), Analyses (collection of common
web-accessible tools for statistical data analysis), Games (interfaces and
simulations to real-life processes), Modeler (tools for distribution,
polynomial and spectral model-fitting and simulation), Graphs, Plots and
Charts (comprehensive web-based tools for exploratory data analysis),
Additional Tools (other statistical tools and resources), SOCR Wiki
(collaborative Wiki resource), Educational Materials and Hands-on Activities
(varieties of SOCR educational materials), SOCR Statistical Consulting and
Statistical Computing Libraries.
- SciStatCalc -- a very good web site (thank you Alijah
Ahmed!), with online calculators for many of the common statistical
probability functions and significance tests, and pages that explain the
concepts and formulas behind the tests. Calculating pages provide flexible
input options (type the numbers in, or read them from a text fiile), and
well--organized output of results, with interpretations and graphical
displays.
- MedCalc -- Two different web sites:
- ProtoGenie -- a free
extensible web-based environment for research design and data collection for
surveys, experiments, clinical trials, time series, cognitive and vision
research, and methods courses. Lets you specify groups and define measurement
and treatment events and their sequencing. The goal is to let users move
smoothly from research design and data collection to interim and final
statistical analysis.
- The
Calcugator -- a calculator, plotting engine, and programming environment.
Also available as a free stand-alone downloadable program. Simple to use;
rivals programs like MATLAB, with 200 functions/operators to perform real,
integer, rational, complex, boolean, statistical, vector, array and matrix
computations. Both the input and output of the program are displayed on
standard windows which can be further edited, saved, merged, print-previewed
and printed. Allows rapid creation of 2D and 3D plots of functions, polar and
parametric displays, bar, pie, pareto and xy charts. All plots can be
configured using the mouse (zooming, panning, selecting). Titles and labels
are supported, and all figures created by the Calcugator can be exported into
popular file formats or pasted into an editable window. As a programming
environment it has a simple and compact language with identical syntax to
Java/C/C++, and allows user-defined functions.
- SISA
(Simple Interactive Statistical Analysis) -- SISA allows you to do
statistical analysis directly on the Internet. Click on one of the procedure
names below, fill in the form, click the button, and the analysis will take
place on the spot. Study the user friendly guides to statistical procedures to
see what procedure is appropriate for your problem.
- The WebMath page
performs a large number of numeric calculations and symbolic algebraic
manipulations of the type that might arise in high school / college algebra
and calculus, including some elementary statistical calculations. In doing so,
it provides a detailed step-by-step explanation of how it arrived at the
answer.
- AppOnFly has a
different approach -- the company maintains Windows computers with a
wide selection of Windows software, including utilities for accessing
PDF, ZIP, graphics and other files, web browsers, various office suites
(MS Office, Libre Office, Apache OpenOffice, WordPerfect Office), and
statistical packages (SPSS, NCSS, R), to mention a few. They then
provide apps for accessing this Windows desktop environment from any
device -- computer, smartphone, tablet (Windows, Mac OS, iOS, Android).
This is a pay-for service, but they offer one-month free trials.
- Expression Evaluators -- type in any numeric
expression; the computer will evaluate it and display the results...
-
Had2Know -- Calculators for math, statistics, finance, home and garden
remodeling, science, technology, health, and much more.
-
GIGAcalculator.com -- several nice statistical tools,
each accompanied by detailed description of the underlying math and assumptions, alongside relevant formulas.
-
Stats Solver -- A diverse assambley of useful statistic online calculaters.
Informative. Step_by-step.
-
UnitConverter -- Slick and easy, but includes cookies and advertising.
- Scientific Calculator -- numeric
expression evaluator.
- StatsCalculator -- Neath and easy calculator.
Will serve as a basic alternative for paid tools such as Minitab.
- Statistics Calculator
-- Compute a number of statistical properties of a dataset (mean,
median, harmonic mean, geometric mean, minimum, maximum, range,
variance, standard deviation)
- Inverse Symbolic Calculator -- tells you where a number
came from. For example, if you type in 1.55838744, this program will
tell you that it's really the square root of 17/7.
-
Percentage Calculator -- New with more features and improved accuracy
and help.
- Calculators -- pages that look and act like a
pocket calculator...
-
A simple 5-function calculator with memory (Adobe Flash Player required).
- iCalcu -- four statistics calculators: Five-number summary, ANOVA and Tukey HSD, Chi-square and Binomial Probability.
They are extremely easy to use, with intuitive examples included. More to come.
- acetabulum.dk -- 5 Statistic Online Calculators (Correlation Test, Survival Analysais, Cox Propertional Hazard, One and Two Way ANOVA and ANOVA from summary data, Logistic Regression).
- Margin of Error Calculator -- The margin of error calculator can be employed to compute the MOE of a survey in accordance with the sample proportion and size, and the desired confidence level.
- CoCalc -- an
advanced RPN scientific calculator from CoHort Software. Has log, trig, boolean, binary/hex, and
basic statistics functions. Implemented as a Java
applet, so it can be run from the Web or stored on your computer for
"offline" running when not connected to the Web. Also available in a larger-font
version.
- Links to
Other Online Calculators, and calculator-related resources, from
Essential Links (el.com).
- Plotters -- type in any algebraic function; it
displays the graph...
- Function plotter -- Lets you zoom in and out to view any
portion of the graph. (Needs Java.)
- Function plotter -- Produces a small 3D plot of almost any
function or relation found in high school and undergraduate college
mathematics. Plots functions of the form y = f(x), such as y = x2 or y = 3x
+ 1, or relations of the form f(x,y) = g(x,y), such as x2 + y2 = 4. (but Flash Player needed)
- Linear Programming Grapher-- Enter a linear function of
two variables to be minimized, and any number of linear inequality
expressions, and the page will instantly solve it and display a graph
showing the feasible region and the constraints.
- Simplex Tool -- Similar to the Linear Programming Grapher,
but works with functions of more than two variables, and doesn't graph the
results.
- Integrators -- type in any function; the computer
displays the indefinite integral function (if one exists) and/or the value of
the definite integral (area under the curve) between two endpoints...
- Interactive Programming Environments -- These pages
implement various mathematical programming languages. You can enter commands
or entire programs (type or copy/paste) into the web page, and they will be
executed immediately.
- Rweb
-- an interactive web-based interface to the "R" statistical programming
language (similar to S or S-plus)
- Mx --
-- a matrix algebra interpreter and numerical optimizer for
exploration of matrix algebra. Many built-in fit fuctions for structural
equation modeling and other statistical modeling. Has fitting fuctions like
those in LISREL, LISCOMP, EQS and CALIS, along with facilities for maximum
likelihood estimation of parameters from missing data structures, under
normal theory. Users can easily specify complex 'nonstandard' models,
define their own fit functions, and perform optimization subject to linear
and nonlinear equality or boundary constraints.
- More calculators
-- a list free online/downloadable calculators.
- Probability Integrals -- these pages take the place
of a handbook of statistical functions. They're arranged with the most
comprehensive,multi-function pages first...
- These pages contain calculations for a very wide assortment of
probability distribution functions, including Normal, Bivariate Normal,
Student t, Chi-Square, Fisher F, Bivariate Normal, Noncentral Student t,
Non-central Chi-Square, Non-central Fisher F, Poisson, Log-normal,
Exponential, Beta, Gamma, Logistic, Binomial, Negative Binomial,
Multinomial, Cauchy, Gumbel, Laplace, Pareto, Weibull, Uniform (continuous
and discrete), Triangular, Geometric, and Hypergeometric:
- Xuru's page to
calculate PDFs, CDFs, and their complementary and inverse, along with
expected values, mean, variance, skewness & kurtosis, for binomial,
geometric, negative binomial, Poisson, hypergeometric, normal, chi-square,
Student t and Fisher F distributions.
- Distribution/density calculators, plotters and random number
generators
- Very sophisticated interactive page for over 65 continuous
and discreet statistical distribution functions -- Select a function
from a menu, and it will show you a graph of that function along with its
properties. You can click on the graph to select limits, and it will show
you the left, middle and right integrals.
- These pages each compute probabilities for the four most common
probability distributions:
- Normal, t, Chi-Square, and Binomial (density and cumulative)
probabilities; Use e.g. dnorm, qnorm, rnorm.)
- Central and tail areas for Normal, Student, F, Chi-Square,
Binomial, and Poisson distributions
- Statistical probability distribution
functions: Normal, Student t, Chi-Square, Fisher F
- P-values for the Popular Distributions -- Binomial ,
Chi-square, Exponential , Fisher's F, K-S: Two Samples , Poisson, Normal ,
Student's t, and Uniform distributions.
- Calculate p-value from z, t, F, r, or Chi Square; or do
the reverse.
- Reverse computations: enter p-value (and, if necessary,
sample sizes and/or d.f.); program will compute z, t, F, Chi Square, and
correlation coefficient
- These pages each compute probabilities and/or inverses for a specific
distributions:
- Normal distribution areas, with nice graphical
interpretations
- Another very good Normal Distribution calculator, with nice
graphics
- A very attractive page for Normal distribution (and
inverse), with detailed explanations
- Normal area (1-tailed)
- Cumulative area under the normal curve (integral from
minus infinity to z)
- Chi-Square probabilities, and reverse, with a detailed
explanation
- Chi-Square Distribution
- Chi-Square Distribution
- Student t Distribution
- inverse (t value from p value)
- Probabilities for the Fisher F distribution
- Another Fisher F distribution p-value calculator.
- Critical Fisher F value, given the alpha level, the
numerator and denominator d.f.
- Non-central F value (by Laubscher's square root
approximation), given the F-value, numerator and denominator d.f., and the
noncentrality parameter.
- Binomial, Poisson and Gaussian distribution
probabilities
- Cumulative frequency for the Binomial distribution
- Probabilities for Gamma, complete Beta, and Incomplete Beta
distributions
- This page contains links to printable copies (in Adobe Acrobat PDF format) of
many statistical tables including some for which no "calculating pages" are
available
- Normal Curve
- Critical Values for: Student t, Fisher F, Studentized Range Statistic and Dunnett's Test, Chi-Square, Binomial Test, Wilcoxon Ranked-Sums Test, Wilcoxon Signed Ranks Test, and Correlation Coefficient
- Converting r to Z
- Statistical Power of: Z Test, t-Test for One Sample or Two Related Samples, t-Test for Two Independent Samples, Analysis of Variance, and Correlation Coefficient
- Required Sample Size for various tests
- Random Number Generators...
- Random integers -- generates any number of random
integers, uniformly distributed between any two limits
- Generate tables of random integers from any specified
range, or random values from a Normal distribution with any specified mean
and SD.
- Random fractional numbers -- generates any number of
random numbers, each a fraction between 0 and 1 with 8 digits after the
decimal point
- Randomly assign subjects to treatment groups -- can
randomly choose a group for each subject, or randomly shuffle subjects
within groups.
- Research
Randomizer -- generates one or more sets of random numbers from a
specified range, with or without repeats, sorted or unsorted.
- Block
Randomizer -- assigns subjects randomly to different groups, with
multiple blocking to ensure that imbalances are kept under control if the
study is terminated prematurely
- Random assignment of subjects to one or more groups --
three variations:
- generates M groups of N numbers each by distributing the numbers from
1 to M*N randomly into the M groups
- generates M blocks of N numbers each by randomly shuffling the numbers
from 1 to N in each block
- generates a subset of N numbers by random selection from a list of the
numbers from 1 to M
- Combinatorial
Objects Server -- generates an incredible assortment of...
- Permutations and their restrictions
- Subsets or Combinations
- Permutations or Combinations of a Multiset
- Set Partitions
- Numerical Partitions and relatives
- Binary, rooted, free and other trees
- Necklaces, Lyndon words, DeBruijn Sequences
- Irreducible and Primitive Polynomials over GF(2)
- Ideals or Linear Extensions of a Poset
- Spanning Trees and other Subgraphs of a Graph
- Unlabelled Graphs
- Pentomino Puzzles, Polyominoes, n-Queens
- and other puzzles and Miscellanea
- Statiscope -- a beautifully-implemented page for calculating
and displaying a large number of descriptive statistics from a set of numbers you enter (Java code)
- Xuru's page for
single variable descriptive statistics: mean, median, sd, variance, mean
abs deviation, geometric mean & sd, skewness, kurtosis, quartiles,
standard errors, Anderson-Darling normality test, and some confidence
intervals of the mean and sd. You can copy and paste data directly from a
spreadsheet or a tabulated data file, or enter numbers manually.
- Descriptive Sampling Statistics -- Enter up to 80 numbers;
this page will calculate the mean, variance, SD, CV, skewness and kurtosis.
- Descriptive statistics (mean, SD, SEM, and CI of mean). Can
enter or paste raw data, or enter mean, SD or SEM, and N to get CI.
- Descriptive Statistics -- Enter up to 80 values; page
calculates: N, mean, variance, SD, CV, skewness, kurtosis, SEM, median, min,
max, range, 1st & 3rd quartiles, interquartile
range, quartile deviation, coeff of quartile var, and absolute deviation.
- Measuring for Accuracy -- Given a set of observed and
predicted values, this page calculates the SD of errors, mean absolute &
relative error, and Durbin-Watson statistic.
- Arithmetic, Geometric, and Harmonic Means -- of up to 80
values.
- Rweb - extensive tabular and graphical descriptive
summarization: mean, quartiles, histograms, scatterplot matrices (with
smoothers), QQ plots (normal and pairwise), time series, box plots. (When you
get to the Rweb page, scroll down to the Analysis Menu and
select Summary.)
- The Data Applet provides descriptive statistics, histograms,
boxplots, and scatterplots
- A variety of descriptive statistics and a stem and leaf
display
- Detect
Outliers -- this calculator performs Grubbs' test, also called the ESD
method (extreme studentized deviate), to determine whether one of the values
in the list you enter is a signficant outlier from the rest. Also contains an
excellent discussion of what to do about outliers.
- Combine Subgroups -- calculate the mean and SD of a
combination of groups from the N, mean and SD of each group.
- Basic descriptive statistics (mean, sum of squares,
variance, standard deviation, minimum, 25th percentile, median,
75th percentile, and maximum for up to 500 numbers
- Empirical Distribution Function -- from up to 42 sets of
[value, frequency].
- Multinomial Distributions -- Enter up to 12 values and their
corresponding probabilities, and this page will calculate Expected Value,
Variance, Standard Deviation, & Coefficient of Variation
- Paired Data Sets Statistics -- Enter up to 28 sample paired
data sets, and this page will calculate means, variances, and covariance
- Histogram -- Enter up to 80 numbers, and this page will
display a histogram.
- Histogram from a set of numbers, lets you dynamically alter
the interval width and see the effect immediately
- Determination and Removal of Outliers -- Given a set of
numbers, this page iteratively isolates potential outliers for removal.
- StatsJournal -- is a free resource for anyone
who needs basic statistics tools.
- Confidence Intervals...
- Tolerance Intervals...
- Tolerance Intervals for the Normal
Distribution. (Don't confuse tolerance intervals with
confidence intervals!) A tolerance interval for a measured
quantity is the interval in which there is a specified likelihood that a
specified fraction of the population's values lie. This page will
calculate 1-sided and 2-sided tolerance intervals for any specified
population fraction, and for any specified level of confidence, from the
mean and standard deviation of a finite sample, under the assumption that
the population is normally distributed. These calculations are also
available in a downloadable Excel spreadsheet: tolintvl.xls .
- Single-Population Tests...
- Sign and Binomial test -- test an observed proportion
against a proposed population proportion
- Mean, SD, confidence interval, etc. for a set of values
- An excellent One-Sample Student t Test page -- enter or
paste raw data, or enter mean, SD or SEM, and N
- One-sample Student t test for Mean vs. a Specified Value
-- for up to 80 observations, and a postulated population mean.
- Another Student t-test of a single mean (vs specified value)
from N, mean, SD
- Test for Asymmetry around zero -- Enter a set of numbers
(usually a mix of positive and negative numbers), and the program will apply
a non-parametric test (originally created by R. A. Fisher) of whether the
numbers are consistent with a population frequency distribution that is
symmetrical around zero (but does not necessarily have to be normal). It is
a frequentist test to work Darwin's experiment with matched pairs, and
experiments like it.
- Test for the
mean being greater than some specified value. This unusual test is
Bayesian and frequentist at the same time. The null hypothesis
asserts some value for the mean of a population of positive numbers; the
alternative hypothesis says the mean is higher than that. This test gives a
Bayesian likelihood ratio that is also an upper bound on the p-value of the
frequentist test.
- Test observed vs. expected rates of occurrence of events,
based on Poisson distribution; also includes confidence intervals and
analysis of rate-ratios (such as Standardized Mortality Ratio, Morbidity
Ratio, and Comparative Mortality Figure)
- Similar to above, but used to study the distribution of
accidents and events at the individual level
- Exact confidence intervals around a rate-ratio, using
Liddell's method (also contains a number of common approximations, for
comparison)
- Test observed vs expected proportions, based on the
Binomial distribution
- Binomial Test -- whether the number of "successes" differ
from what was expected based on the number of trials and the probability of
success.
- Similar to above, but deals with the probability of a
particular sample size, given an observed 'x' number positive (or white, or
car crashes) vs. an expected 'U' proportion positive
- Compatibility of Multi-Counts -- tests whether up to 14
observed event counts (each over the same amount of time) are consistent
with a single expected event rate.
- Runs Test for Randomness -- Enter up to 80 numbers, and
this page will calculate a runs test to see if the numbers form a random
sequence
- Testing the Variance -- of up to 80 observations against a
postulated population variance.
- Analyze observed proportions in samples from finite
populations, based on the Hypergeometric distribution
- Test for Normality -- Enter up to 80 numbers, and this
page will test for normality based on the Jarque-Bera statistic
- Test for Homogeneity of a Population -- enter form 25 to
84 values; page provides information to test whether histogram is unimodal.
- Shapiro-Wilk Test for Normality -- enter numbers into
page, or read them from a text file. Performs normality test, also shows a
histogram of the data. For a description of the test, along with the
formulas and programming, click here.
- Test for Normality -- enter up to 42 sets of [value,
frequency]; page will calculate skewness, kurtosis, and Liliefors test for
consistency with a normal distribution.
- Test for Uniform Distribution -- enter up to 42 sets of
[value, frequency]; page will calculate the Kolmogorov-Smirnov test for
consistency with a uniform distribution.
- Testing Poisson Process -- enter up to 14 sets of [value,
frequency]; page will calculate a Chi square test for consistency with a
Poisson distribution.
- Lilliefors Test for Exponential Distribution -- tests
whether a set of observed values are consistent with an exponential
distribution.
- Chi-Square "Goodness of Fit" test for observed vs expected
counts (NOT from Contingency Tables)...
- Measurement Errors and Error Propagation...
- Student t-test (for comparing two samples)...
- a very
general Student t-test web page -- paired or unpaired, equal- or
unequal-variance, from individual observations (which can be key-entered or
copy/pasted) or summary data (N, Mean, SD or SEM). Includes explanations and
advice on carrying out this type of test.
- a very polished calculator for two-group Student t test, with graphical display of means
and confidence intervals, and an interpretation of the results. Can take
individual values or summary statistics (N, mean, SD) for each group.
- t-test, paired or unpaired
- t-test, paired or unpaired
- t-test, paired
- Paired Student t test -- enter data into the page, or read
it from a text file. This page also produces histograms of the data
(each group, and paired differences). For a detailed description of the
test, with formulas and examples, click here.
- Paired Student t Test -- on up to 42 pairs of values,
along with a postulated population mean difference.
- Testing Two Populations -- Unpaired Student t test for up
to 80 observations in each sample. Also accepts a postulated difference
between the two population means, which can be different from 0.
- Unpaired t-test from summary data (N, mean, SD)
- Very general t-test program for comparing measured quantities,
observed counts, and proportions between two unpaired samples; also
produces risk ratio, odds ratio, number needed to treat, and population
analysis.
- ANOVA (Analysis of Variance) -- comparison of two
or more samples ...
- One-Way and Factorial ANOVA for uncorrelated
samples (extension of unpaired Student t-test to more than 2
groups)...
- One-way ANOVA, with graphical output
- ANOVA: Testing the Means -- One-way ANOVA for three
groups, each containing up to 40 subjects.
- One-way ANOVA from summary data
(N, mean and SD or SEM) -- Now also does Tukey HSD post-hoc test!
- One-way ANOVA from summary data
(N, mean and SD or SEM) -- As above but allows
- copy/paste data
- evaluate more than 10 groups
- includes Tukey-Kramers post-hoc test
- Another 1-way ANOVA from summary data
- One-way ANOVA -- Also produces a post-hoc analysis
(which groups are different from which others), and a scatterplot of all
groups. For a description of the ANOVA, click here.
- Two-Way ANOVA Test -- for blocked designs of up to 4
groups by 6 treatments.
- Two-Way ANOVA with Replications -- for blocked designs
of up to 4 groups by 6 treatments, with up to 4 replications.
- Two-way ANOVA -- enter data into the web page, or read
it from a text file. For an explanation, click here.
- Two-way factorial ANOVA for 2 rows by 2 columns, from
summary data (N, mean, SD)
- ANOVA for Condensed Data Sets -- Enter up to 10 sets of
(N, mean, SD); page calculates a one-way ANOVA.
- Very general n-way factorial ANOVA, with interactions,
means table, interaction plots, Bonferroni post-hoc multiple comparisons,
and confidence intervals. (When you get to the Rweb page, scroll
down to the Analysis Menu and select ANOVA.)
- Repeated-Measures ANOVA for correlated samples
(extension of paired Student t-test to more than 2 matched
measurements)...
- Bartlett's Test for Equality of Multi-variances -- for up
to 14 sets of [N, variance].
- Bartlett's test for equality/homogeneity of variances for
three or more groups. Also produces a scatter plot of all the groups. For a
description of the test, along with the formulas and programming, click here.
- Post-hoc Tests -- After doing a two-way (or other) ANOVA,
post -hoc tests (also called post tests) compare individual pairs of groups.
This calculator does not perform the ANOVA calculations, but takes the
output from an ANOVA (residual means square error, degrees of freedom)
performs a post-hoc test between any pairs of cells that you select (using
cell means and N's), at whatever alpha you specify.
- Tukey LSD (Least Significant Difference), using the
standard table produced by an ANOVA
- Scheffe Least Significant Difference, using data from a
standard ANOVA table and the N's for the two groups being compared
- Non-parametric tests (use these when the data is
not normally distributed)...
- Sign test for matched pairs
- Median test for unmatched pairs
- Wilcoxon Signed-Ranks test for matched pairs -- a
non-parametric substitute for the paired Student t test when the data
is not normally distributed. This page also produces histograms of the data
(each group, and paired differences). For a detailed description of the
test, with formulas and examples, click here.
- Another Wilcoxon Signed-Ranks test for matched pairs --
This page takes summarized, tabulated data: how many cases had differences
of +1, +2, +3, etc., and -1, -2, -3, etc.
- Comparing Two Random Variables -- by the Mann-Whitney U
test, with up to 80 observations per sample.
- Mann-Whitney U test -- a non-parametric substitute for the
unpaired Student t test when the data is not normally distributed. This page
also produces a dot-plot and a histogram of the data for each group. For a
detailed description of the test, with formulas and examples, click here.
- K-S Test for Equality of Two Populations -- Given two sets
of frequencies (using the same grouping intervals), this page calculates the
Kolmogorov-Smirnov test.
- Two-sample Kolmogorov-Smirnov Test -- Enter numbers into
the web page, or read them in from text files. Also graphs the cumulative
distribution of the two samples.
- Wilcoxon Sum-of-Ranks (Mann-Whitney) test for comparing two
unmatched samples
- Kruskal-Wallis test (non-parametric ANOVA) for 2 or more
groups of unpaired data -- This page requires that you first
cross-tabulate your data into a matrix, with a row for every group and a
column for every different numeric value that any subject had; the cell of
the matrix tell how many subjects (if any) in that group had exactly that
numeric value.
- Kruskal-Wallis test -- This page also produces a
scatterplot of ranks for all groups.
- Least Significant Difference between mean ranks (post-hoc
test after a significant Kruskal-Wallis test)
- Friedman test for comparing rankings (non-parametric)
- Two-group ordinal comparisons to assess how probable it is
that the two groups come from a single ordering, using Wald-Wolfowitz,
Randomness Test, Mann-Whitney, and Kolmogorov-Smirnov
- Two-group paired comparisons, using T-test, Wilcoxon,
Signs test, and McNemar test
- McNemar's test for the paired comparison of proportions (or
for matched pairs of labels)
- Comparison of proportions between two groups...
- Comparison of Binomial proportions
- Comparison of two proportions between two groups (each
given as # successes / # of trials). Shows confidence intervals, and
interprets the results of the comparison.
- Paired Preferences Test -- Enter the sample size, and the
two percentages (preferring A and preferring B), and this program will
calculate the T score and significance level. This page is based on a normal
approximation to the binomial distribution, and should not be used if the
sample size is less than 30.
- Comparison of Event Rates between two groups...
- a very polished calculator for comparing two event rates (number of events in a certain
amount of time). Shows confidence intervals around each event rate, and
interprets the significance of the difference between the rates of the two
groups.
- Sequential Analysis -- each subject's data (usually
paired comparisons) is tested as it becomes available, and a decision is made
to accept or to reject the null hypothesis or to keep testing.
- Chi-Square tests...
- Quick Chi-Square -- Manual entry (tab or comma delimited) or Copy/paste Excel data directly.
Calculates Expected Cell Values, Chi-Square and P-value for any 2D Contingency Table.
- 2-by-2 table analysis
(Chi-square, Fisher Exact Test, sensitivity, odds ratio, relative risk,
difference in proportions, number needed to treat, etc.) with confidence
intervals.
- EpiMax Table Calculator -- similar to the above, but with
a clearer screen layout.
- for 2-by-2 table, by Fisher Exact, and by Chi Square (with
and without Yates' correction), with a good explanation
- for 2-by-2 table
- 2-by-2 table analysis (Chi Square, Fisher Exact,
difference in proportions, risk ratio, odds ratio, theta, log-odds ratio,
Poisson test)
- Diagnostic Test Evaluation -- from a 2x2 cross-tab of
diagnostic test results (positive or negative) vs. true disease state
(present or absent), calculates sensitivity, specificity, positive and
negative likelihood ratios and predictive values, and disease prevalence,
along with their 95% confidence intervals.
- for 2-by-N table, where the two rows represent dichotomies
like lived/died, present/absent, yes/no. This can test for a trend in the
probability of an event when you have counts of the two categories over a
set of time intervals.
- Chi-square Test for Relationship -- for up to a 6-by-6
cross-tab.
- for any-size table
- another for any-size table
- Exhaustive analysis of 2-by-2 tables, with Pearson
Chi-square, Likelyhood Ratio Chi-Square, Yates Chi-square, Mantel Haenszel
Chi-square, Odds Ratio, Log Odds Ratio, Yules-Q, Yules-Y, Phi-square,
Pearson correlation, and McNemar Test
- Paired Proportion Test -- for testing whether the
proportion of subjects having some characteristic is the same in two matched
groups or in one group before and after some intervention. (Also can test
against a null hypothesis specifying some non-zero difference.)
- Also see the Evidence-Based-Medicine (EBM) calculator in the
"Biostatistical Calculators" section of the "Other Statistical Tests and Analyses" section of this
page.
- Three-dimensional Tables (2x2x2)...
- Fisher Exact tests for contingency tables...
- Test differences between two observed proportions, based on
the Binomial distribution
- Barnards Test (2x2) -- An exact test for 2x2 tables that is
exact (like the Fisher test), but can be more powerful than the Fisher test
(more likely to produce significance). For an explanation, click
here.
- Contingency table for sequenced categories (Ordinal by Ordinal, 5-by-5 table or less)
- Contingency table for sequenced categories
This is a re-implementation of John Pezullos original page above, accommodating for 2x2 or more (i.e. N-by-M) contingency tables
- Contingency table for sequenced categories, 5-by-2 table,
with exact probability calculations
- Spearman's correlation from cross-tabbed data with sequenced row
and column categories
- McNemar's test to analyze a matched case-control study, with
a good explanation
- McNemar's test for paired contingency tables
- McNemar's test for 2x2 paired tables -- For a background
explanation, with formulas and examples, click
here.
- Cochrane's Q Test -- An extension of the McNemar test to 2xN
tables. For an explanation, click
here.
- Exact
Bayes test for independence in r by c contingency tables -- Can also
handle comparison of observed-vs-expected, and observed-vs-uniform situations.
- Comparison of ratings or rankings by different
raters...
- Chi-Square test for equality of distributions
- Chi-Square "Goodness of Fit" test for observed vs expected
counts (NOT from Contingency Tables)...
- Chi Square test -- takes observed values, and expected
values that can be specified as expected occurrences, or percentages or
fractions of the total. Data can be typed in or copied and pasted.
- Chi-Square test
- Chi-Square test
- Straight Lines and Correlation Coefficients...
- Least squares regression. (nice interface)
- Linear
regression to data copy/pasted from a spreadsheet or tabular file.
- Linear Regression -- enter X and Y into the web page, or
read them in from a text file. Produces regression coefficients, coefficient
of determination, and other quantities, along with a graph of the observed
data points and fitted line. For a description of the concepts of linear
regression, click here.
- Several variations on 2-parameter linear regression (logarithmic
regression, exponential regression, and power regression)
- Simple Linear Regression -- for up to 84 points, with
extensive output and residual analysis.
- The Data Applet provides descriptive statistics,
histograms, boxplots, and scatterplots
- Scatter Diagram and Test for Outliers -- for up to 84
points.
- Bivariate Sampling Statistics -- calculates means,
variances, and covariance for up to 42 [x,y] measurements.
- WebStat (an integrated (Java)
applet) can perform simple regression analysis
- Correlation Tests...
- Spearman's rank correlation (non-parametric)...
- Calculate Pearson, Spearman or Kendall Correlation Coefficient from a N × M 2D data matrix.
- Write, copy/paste (Excel or other spreadsheet) or load data from a csv file.
- First row may include column names. Specify which columns to test for correlation.
- Optional specify: confidence level, continuity correction, exact p-value and alternative hypothesis.
- Correlation test
- Pearson Correlation Coefficient -- also produces a
scatterplot of the data. For a description of correlation coefficients,
click here.
- Spearman Rank Correlation Coefficient -- a non-parametric
substitute for the Pearson correlation coefficient. This page also produces
a scatterplot of the data. For a description of correlation coefficients,
click here.
- Significance level corresponding to a correlation
coefficient
- Testing the Correlation Coefficient -- enter up to 42 r
values, along with a postulated population r value.
- Minimum significant correlation coefficient for a given sample
size
- Comparison of two correlation coefficients
- Comparison of two or more correlation coefficients
- Comparison of two sets of (X,Y) data to see if they are
consistent with the same straight line (tests whether the slopes are
different, and whether the lines are vertically distinct)
- Comparing Two Linear Regressions -- Enter two sets of
[x,y] values; page calculates two straight lines, then compares slopes and
intercepts.
- Test for Several Correlation Coefficients -- enter up to
14 sets of [N, r]; page will test whether all r's are consistent with a
single population r value.
- Biserial correlation coefficient from summary data (N,
mean, SD) of the X and Y variables
- Lin's "concordance correlation coefficient" -- first
proposed by Lin (1989) for assessment of concordance in continuous data. A
breakthrough in assessing agreement between alternative methods for
continuous data. Seems to avoid the shortcomings of correlation coefficient
r, paired t-tests, least squares analysis for slope and intercept,
coefficient of variation, intraclass correlation coefficient.. It is robust
on as few as 10 pairs of data.
- Manipulation of a correlation matrix -- you enter the
N-by-N correlation matrix, the page computes all Partial Correlation
Coefficients, all Standardized Partial Regression Coefficients, and the
Multiple Correlation Coefficient for each variable.
- A versatile page for calculating the significance of a
correlation (rho<>0), significance of the difference between two
correlations, power and sample size requirements for correlations testing,
and the inter-relationships between three partial correlation
coefficients.
- Beyond Simple 2-parameter Curve-fitting...
- Very general nonlinear least-squares
curve fitter -- almost any function you can write-- up to 8 nonlinear
parameters, up to 10 independent variables.
- Performs nonlinear least-square regression as above but will handle more than 8 parameters
and includes plotting option.
- MyCurveFit.com -- an
easy-to-use curve-fitting page. Offers 13 pre-defined functions (no
initial guesses required), along with the ability to fit a general
non-linear function you provide (along with initial guesses). Displays the
results graphically, along with the formula of the fitted curve.
Several types of unequal data-point weighting are provided. Lets you
generate predicted values (interpolated and extrapolated) from the fitted
curve. Lets you save results in Excel and PDF formats.
- ZunZun non-linear
least-squares curve-fitter -- with an enormous list of pre-defined 2-D
and 3-D functions, and extensive graphical and statistical output.
- Another non-linear least-squares curve fitter -- with
graphical output! Choose one of 15 pre-defined nonlinear functions of one
variable and up to three parameters.
- 3-D
Regression and Interactive Graph (by MiaBella LLC) -- a powerful
web page that fits a linear function of two predictor variables (Z = a + b*X
+ c*Y), and displays a very elegant
3-D scatterchart of the {X,Y,Z} points and the fitted plane. You can rotate
the graph in three dimensions using the mouse, and you can see the X, Y, and
Z values of any point (say, an outlier) by clicking on the point.
- Polynomial
Regression -- fit polynomials of degree 2 through 10.
- Multiple Linear
Regression -- fit functions of more than one predictor variable.
- Multiple
Polynomial Regression -- fit functions of one or more predictors, each
expressed as polynomials, up to the order you specify.
- Nonlinear
Regression -- Automatically fits over 100 of the most commonly-occurring
non-linear functions (gaussians, sigmoidals, rationals, sinusoidals, etc.),
and then ranks them according to goodness-of-fit.
- Compare
the fit of two models to your data. Which model fits better? Enter
goodness-of-fit (SSQ, or weighted SSQ) and # of data points and # of
parameters for each model. The calculator will compare the models using
Akaike's method, , then the F test.
- Fit "rational functions" (also called "Pade functions") to
{X,Y} data. A rational function is a fraction whose numerator and
denominator are both polynomials in X. They can fit a broader range of
functions than polynomials alone can -- they can fit data where the Y value
"levels off" to a horizontal line for very large or small X, and can fit
functions that have "singularities" (Y shoots to infinity at some value of
x). This curve-fitter is part of an extensive set of online
calculators to solve problems in structural engineering (bending and
buckling of beams and plates, etc.) at the Software for Structures web site.
- Univariate and multiple regression, with very extensive
graphical output (histograms, scatterplots, scatterplot matrices) and
residual analysis (QQ, histogram, residuals vs dependent or predictors).
Very intuitive point-and-click interface, dynamically customized for your
data. (When you get to the Rweb page, scroll down to the Analysis
Menu and select Regression.)
- Multiple Linear Regression -- up to 16 data points and up
to 4 independent variables; calculates fitted model, and a large number of
residual analysis statistics.
- Quadratic Regression -- Fits a least squares parabola to
up to 84 data points, and provides extensive residual analysis.
- Multiple regression, if you already have the correlation coefficient
matrix between all independent and dependent variables...
- Fit any of
five families of curves (linear, polynomial, exponential, descending
exponential, Gaussian) and draw a graph
- Logistic Regression, if the
dependent variable is restricted to two values (such as whether an event did
or did not occur)
- Logistic Regression -- extends John C Pezzullos page (above) to handle power models
and let you calculate Predicted Probability for specific covariable patterns.
- Cox Proportional Hazards Survival
Regression Analysis
- A faster version of Cox
Proportional Hazards Analysis
- Advanced Cox
Proportional Hazards Regression Analysis
- Advanced Cox
Proportional Hazards Regression Analysis - interactive
- Regression by Prevalence -- when you have data on the
number of occurrences and non-occurrences of something over a set of time
intervals. Tests whether the probability of the occurrence shows a trend
over time.
- Test Bias
Assessment Program, computes statistics to help you decide if test
scores predict a criterion differently across subgroups
- Time Series Analysis...
- Autoregressive Time Series -- tools for the
identification, estimation, and forecasting based on autoregressive order
obtained from a time series.
- Detecting Trend & Autocrrelation in Time
Series -- Given a set of numbers, this page tests for trend by Sign
Test, and for autocorrelation by Durbin-Watson test.
- Plot of a Time Series -- generates a graph of a time
series with up to 144 points.
- Seasonal Index -- Calculates a set of seasonal index
values from a set of values forming a time series. A related page performs a
Test for Seasonality on the index values.
- Forecasting by Smoothing -- Given a set of numbers forming
a time series, this page estimates the next number, using Moving Avg &
Exponential Smoothing, Weighted Moving Avg, and Double & Triple
Exponential Smoothing.
- Runs Test for Random Fluctuations -- in a time series.
- Test for Stationary Time Series -- Given a set of
numbers forming a time series, this page calculates the mean & variance
of the first & second half, and calculates one-lag-apart &
two-lag-apart autocorrelations. A related page: Time Series' Statistics calculates these statistics, and
also the overall mean & variance, and the first & second partial
autocorrelations.
- Kaplan-Meier Survival Plot and LogRank Test
-- Type or copy/paste data, or read it in from a file. Prepares
tables, graphs (with 95% confidence intervals), and statistical
comparison output. Can accommodate two or more groups, and can perform
stratified log-rank test. Uses the R statistical engine on the ShinyApps
server to provide very high-quality output. Written by Soren Merser.
- Kaplan-Meier Survival Plot -- for one or more groups. Draws
K-M curves with optional confidence bands (ordinary, log, or log-log type, at
the 50, 80, 90, or 95% conf. level). This is part of Peter Rosenmai's EurekaStatistics web
site (a blog about statistics and R).
- Kaplan-Meier Survival Plot and LogRank -- calculates
survival curves (with confidence bands), and performs a LogRank test test
to comparing survival curves between two groups.
- Life
Table (Kaplan-Meier) -- Enter the number died and censored at each time
period, and the page calculates the cumulative survival probability and 95%
confidence intervals. Also graphs the survival curve, and exports the data, so
you can create a better graph using another program.
- Cox Proportional Hazards Survival
Regression Analysis -- specify each subject's observation time and status
(last seen alive or dead), and any number of independent variables
(predictors, confounders, and other covariates). This web page will perform a
proportional-hazards regression analysis and return the regression
coefficients, their standard errors, hazard (risk) ratio, and their confidence
intervals, and the baseline survivor curve, along with goodness-of-fit
information. You can also use a faster
version by Ronald Brand (Leiden University), or an enhanced version by Kevin Sullivan (Emory University) that
has illustrative examples and explanatory material.
- CoxReg -- performs Cox Proportional Hazards Regression.
You can copy/paste data from Excel, or upload a CSV file. Produces a
regression table report, survival plot, survival table, log-rank test,
and a predicted survival plot for specified covariable patterns. Uses
the R statistical engine on the ShinyApps server to provide very
high-quality output. Written by Soren Merser.
- Compare Average Survival Time between two distributions --
Enter the number of events and the average time to event for each of two
groups. The calculator will display the confidence interval around each mean
time, and will compare the two mean times. (Assumes an exponential-shaped
survival curve.)
- Bayesian Credibililty Analysis
-- allows the credibility of a clinical trial finding to be assessed in the
light of current knowledge. This page takes the odds ratio and its confidence
interval from a clinical trial, and uses a newly-developed Bayesian method to
calculate a quantity called the critical odds ratio (COR). If odds
ratios at least as impressive as that indicated by the COR can be
justified by existing knowledge, then the results of the clinical trial can be
deemed credible.
- Etiologic Predictive
Value (EPV) -- a new statistical method developed for determining the
probability of symptoms being caused by a bacteriological finding, while
taking carriers into consideration. To calculate EPV, one must know the number
of positive and negative tests among patients and healthy controls as well as
the sensitivity of the test. This enables calculating the positive and
negative EPV with a 95% confidence interval.
- Exact
Bayes test for independence in r by c contingency tables -- Can also
handle comparison of observed-vs-expected, and observed-vs-uniform situations.
- Analysis of
"1-degree of freedom" data -- performs interactive frequentist and
Bayesian conditional tests for counts data having one degree of freedom. That
is, it does hypergeometric, binomial, Poisson, Bessel, and related
distributions (for double dichotomies, sign tests, a special kind of
structural zero design, etc.).
- Bayes' theorem calculations --
takes prior probabilities and conditional probabilities, and calculates
revised probabilities. (great for solving certain kinds of brain teaser
puzzles)
- Interpret P values -- Compute post test probability to take
into account the context of the experiment, as expressed by the prior
probability that your hypothesis is true.
- Bayesian calculations for diagnostic tests -- computes
interrelationships among true pos, true neg, false pos, false neg, prevalence,
sensitivity, specificity, predictive values, and likelihood ratios (requires JavaScript).
- Sequential Experimental Design for testing the probability
ratios
- 2-by-2 table analysis (Chi-Square,
sensitivity, odds ratio, relative risk, etc. with confidence intervals
- Wald's Sequential Probability Ratio's -- for designing a
sequential experiment in which a decision is made after each observation
either to accept the null hypothesis, accept the alternate hypothesis, or
acquire more observations.
- Diagnostic Test Calculator -- This calculator can determine diagnostic test characteristics
(sensitivity, specificity, likelihood ratios)
and/or determine the post-test probability of disease given given the pre-test probability and test characteristics.
Given sample sizes, confidence intervals are also computed.
- ReliCheck -- an
online reliability analysis tool that allows users to check the reliability of
the scores on their survey. The free option provides reliability score,
statistical strength of survey, general item analysis, and a statistical
summary of the survey. Pay-for plans also provide an auto-optimizer,
optimization comparison, manual optimizer, and control of survey analysis.
- Queueing Theory Calculator -- Performs classic calculations
for single-server or multi-server queues (queue length, waiting time,
etc.).
- Interactive Cross-Validation -- Performs the "leave-one-out"
cross-validation inference for: central tendency, least-squares lines,
one-dimensional multinomial tables, two-dimensional contingency tables with
structural zeroes, k-sample problems, and block-and-treatment designs. The web
page is well-documented, with about a dozen examples worked out and explained.
- Fittestmodel --an
online forum, on which statistical evidence can be presented that is always
replicable, testable and extendible at the 'click of a button'. The name
Fittestmodel encompasses both the goal and the means of science, namely
to find the fittestmodel by fitting, testing and modelling. Users may discuss
statistical evidence online or query for results based on search criteria such
as dataseries, methods or criteria that measure the 'quality' of results.
Publicly available datasets from various sources may be combined into new
statistical evidence and statistical techniques will be added on a continuous
basis, by user request or otherwise.
- Bonferroni adjustment of critical p-values when performing
multiple comparisons (has an excellent discussion of this topic)
- Multiple comparisons correction (Bonferroni adjustment)
- Number
Needed to Treat, based on a 2-by-2 table
- Detect Outliers -- this calculator performs Grubbs' test,
also called the ESD method (extreme studentized deviate), to determine whether
one of the values in the list you enter is a signficant outlier from the rest.
- Selection Bias Calculator for Prevalence Estimates
- Calculate and plot an ROC Curve (for grouped predictor data)
- Clustering Calculator generates tree structures of data
clustering, and much more
- Misclassification Bias in Prevalence Studies
- Predictive Value from Sensitivity, Specificity and
Prevalence, (when analyzing a clinical test), with a nice explanation
- Selection Bias in Case-control Studies
- NetMul: a browser interface to a program that performs:
- Principal Coordinate Analysis (PCO)
- co-inertia analysis
- discriminant analysis and within- or between-class analyses
- analyses on distance matrices or neighboring graphs.
- Simultaneous Equations and Matrix Inversion -- up to 10
equations (or 10x10 matrix).
- Linear Optimization with Tools for Sensitivity Regions --
This page finds the optimal solution, and does a post-optimality analysis of
small-size linear programming problems (constrained optimization).
- Martindale's Reference Desk - Calculators On-Line -
Statistics (the grand-daddy of all compendia of calculating web pages)
- Biostatistical Calculators:
- Evidence-Based Medicine (EBM) calculator -- From Warren
Goff's interestingly-named web
site. Analyzes one or more fourfold (2x2) tables; calculates Chi Square,
CER, EER, and RR, and parameters related to treatment (RRR, ARR, NNT, NNH,
with 95% confidence intervals), diagnosis (Sensitivity, Specificity, PPV,
NPV, Prevalence, LR+, LR-, OR, Pre-Odds, Post-Prob), and Harm (RR, OR NNH).
Can also compare two different tables.
- Diagnostic Test Evaluation -- from a 2x2 cross-tab of
diagnostic test results (positive or negative) vs. true disease state
(present or absent), calculates sensitivity, specificity, positive and
negative likelihood ratios and predictive values, and disease prevalence,
along with their 95% confidence intervals.
- Risk Reduction Calculator
-- Given information about the probability of an outcome under control and experimental treatments,
this calculator produces measures of risk increase/decrease and number needed to treat or harm, including confidence intervals.
If some patients were lost to follow-up, the calculator provides estimates for several different scenarios.
- Compute
ECanything from EC50 (assuming a
standard "Hill-type" dose-response relationship). Very useful in
dose-response studies.
- Thorough analysis of 2-by-2 table relevant to Predictions and
Diagnostic Tests -- sensitivity, specificity, prevalence, diagnostic
accuracy, PPV, post-test probabilities, likelihood ratio tests
- Calculation of posttest probability from Likelihood Ratio and
pretest probability
- Conversion of Sensitivity and Specificity to Likelihood
Ratios
- Calculator to predict the probability of a successful outcome
to lumbar disc surgery (based on a logistic model)
- LODS - Logistic Organ Dysfunction
System calculator
- Scoring
systems for ICU and surgical patients -- Online calculation of scores
used in general or specialized Intensive Care or Anesthesia, including:
- Adult, General scores: SAPS II,
APACHE
II, SOFA, MODS , ODIN, MPM (on
admission , 24 hrs, 48 hrs ,
MPM Over
Time) , MPM II (on
admission, 24-48-72 hrs) , LODS, and
TRIOS
- Adult, Specialized and Surgical Intensive Care - Preoperative
evaluation: EUROSCORE, ONTARIO,
Parsonnet, System
97, QMMI, MPM,
POSSUM, and Portsmouth
POSSUM
- Adult, Trauma scores: ISS/RTS/TRISS, and 24 h -
ICU Trauma Score
- Adult, Therapeutic intervention, nursing ICU scores: TISS
- Pediatric, General scores: PRISM, DORA, PELOD, and PIM
- Pediatric, Specialized (Neonatal, Surgical): CRIB, SNAP, SNAP-PE, SNAP II
/ SNAPPE II
- Pediatric, Trauma Scores: Pediatric Trauma Score
- Some Calculators for Medical Purposes
- Item Analysis --
for multiple choice questionnaires
- Statistical Quality
Control (SQC) Online -- Online calculators and tutorials to perform SQC annd Statistical
Process Control (SPC). Contains:
- Online versions of
Military & Civilian Standard Tables: MS-105E / ANSI/ASQC Z1.4, ISO 2859
(sampling plans for attribute data), MS-414 / ANSI/ASQC Z1.9 (sampling plans
for measurement data, and MS-1235C (sampling inspection plans for
continuous production, Procedure CSP-1).
- Online Calculators for Process Capability Index (Cp), MTBF Calculator for
a system given the part (component) failure rate, and Control Charts and Runs
Rules (Switching Rules for MS-105E, Continuous Sampling CSP-1, Western
Electric Rules, and System Reliability for consecutive-type systems)
-
- Queuing Theory
Calculator -- a remarkably powerful web calculator that can solve a wide
variety of queueing problems: single-server, multiple-server, infinite-server,
infinite or finite waiting room, Erlang loss model, and machine interference
model (with or without spare machines). Provides detailed output in the form
of averages, standard deviations, and frequency distributions in the form of
tables and graphs.
- Structural Engineering Calculators, from BuildingsGuide.com --
currently includes ASCE 7-05 Code calculators for Snow Loading Analysis, Ice Loading Analysis for WT, MT & ST shapes, for W, M, S & HP shapes, and for C & MC shapes; Seismic Base Shear for single-level buildings, and Wind Loading Analysis for low-rise buildings.
- Decision Making in Economics and Finance:
- ABC Inventory Classification -- an analysis of a range of
items, such as finished products or customers into three "importance"
categories: A, B, and C as a basis for a control scheme. This pageconstructs
an empirical cumulative distribution function (ECDF) as a measuring tool and
decision procedure for the ABC inventory classification.
- Inventory Control Models -- Given the costs of holding
stock, placing an order, and running short of stock, this page optimizes
decision parameters (order point, order quantity, etc.) using four models:
Classical, Shortages Permitted , Production & Consumption, Production
& Consumption with Shortages.
- Optimal Age for Replacement -- Given yearly figures for
resale value and running costs, this page calculates the replacement optimal
age and average cost.
- Single-period Inventory Analysis -- computes the optimal
inventory level over a single cycle, from up-to-28 pairs of (number of
possible item to sell, and their associated non-zero probabilities), together
with the "not sold unit batch cost", and the "net profit of a batch sold".
- Investment Derivative
Calculations -- A very elaborate online calculator and real-time data
retrieval system. Includes economic regression analysis.
- Black-Scholes Calculator -- to place a value on stock
options.
-
- Bardahl Calculator -- to compute the reasonable working
capital needs of a corporation.
- Probabilistic Modeling:
- Bayes' Revised Probability -- computes the posterior
probabilities to "sharpen" your uncertainties by incorporating an expert
judgement's reliability matrix with your prior probability vector. Can
accommodate up to nine states of nature.
- Decision Making Under Uncertainty -- Enter up-to-6x6
payoff matrix of decision alternatives (choices) by states of nature,
along with a coefficient of optimism; the page will calculate Action &
Payoff for Pessimism, Optimism, Middle-of-the-Road, Minimize Regret, and
Insufficient Reason.
- Determination of Utility Function -- Takes two monetary
values and their known utility, and calculates the utility of another
amount, under two different strategies: certain & uncertain.
- Making Risky Decisions -- Enter up-to-6x6 payoff matrix of
decision alternatives (choices) by states of nature, along with subjective
estimates of occurrence probability for each states of nature; the page will
calculate action & payoff (expected, and for most likely event), min
expected regret , return of perfect information, value of perfect
information, and efficiency.
- Multinomial Distributions -- for up to 36 probabilities
and associated outcomes, calculates expected value, variance, SD, and CV.
- Revising the Mean and the Variance -- to combine
subjectivity and evidence-based estimates. Takes up to 14 pairs of means and
variances; calculates combined estimates of mean, variance, and CV.
- Subjective Assessment of Estimates -- (relative
precision as a measuring tool for inaccuracy assessment among estimates),
tests the claim that at least one estimate is away from the parameter by
more than r times (i.e., a relative precision), where r is a subjective
positive number less than one. Takes up-to-10 sample estimates, and a
subjective relative precision (r<1); the page indicates whether at least
one measurement is unacceptable.
- Subjectivity in Hypothesis Testing -- Takes the
profit/loss measure of various correct or incorrect conclusions regarding
the hypothesis, along with probabilities of Type I and II errors (alpha
& beta), total sampling cost, and subjective estimate of probability
that null hypothesis is true; returns the expected net profit.
Check out the PowerAndSampleSize.com web site, which contains (at last
count) 19 interactive calculators for power or required sample size for
many different types of statistical tests: testing 1 mean, comparing 2 or more
means, testing 1 proportion, comparing 2 or more proportions, testing odds
ratios, and two 1-sample tests (normal and binomial-based). This site also
provides calculators for non-inferiority and equivalence studies. The web pages
display graphs that dynamically show how power varies with various design
parameters as you change other parameters.
Also, look at the very general and elegant power/sample-size calculator by Russel Lenth (U of Iowa). It
handles tests of means (one or two samples), tests of proportions (one or two
samples), linear regression, generic chi-square and Poisson tests, and an
amazing variety of ANOVAs -- 1-, 2-, and 3-way; randomized complete-block; Latin
and Greco-Latin squares; 1-stage, 2-stage, and factorial nested designs;
crossover; split-plot; strip-plot; and more! This calculator is implemented in
Java, and can be run as a web page, or can be downloaded to your computer to run offline as a stand-alone
application.
Here's a collection of online power calculator web pages for specific kinds
of tests:
- For one-group tests (comparing the sample to a specified
value) or for paired two-group tests...
- For designing surveys (sample size and confidence
intervals for proportions, based on sample size, with or without corrections
for finite populations:
- For two-group tests...
- Comparing means for two independent samples...
- Difference between two proportions (as, for example, by a Chi Square
test on a 2-by-2 cross-tab)...
- For ANOVAs and other multi-group comparisons...
- For regressions and correlation tests...
- A versatile page for calculating the significance of a
correlation (rho<>0), significance of the difference between two
correlations, power and sample size requirements for correlations testing,
and the inter-relationships between three partial correlation coefficients
- Sample-size for multiple regression -- will tell you the
minimum required sample size for your study, given the alpha level, the
number of predictors, the anticipated effect size (as f2), and
the desired statistical power level. If you know the effect size as
R2, you can calculate f2 from R2 with this
calculator.
- Power/Sample-size for simple or multiple linear regression
-- select the Linear regression option, then click the Run
Selection button.
- Beta level for multiple regression (i.e., the Type
II error rate, which is 1 minusPower), given the observed alpha level, the
number of predictors, the observed R2, and the sample size.
- Post-hoc power for multiple regression -- calculates the
observed power for your study, given the observed alpha level, the number of
predictors, the observed R2, and the sample size.
- Power calculations for logistic regression with binary exposure- and covariables.
- Other power calculations...
- Sample size
calculator for pilot or safety studies where the goal is to detect
the occurrence of one or more events that might indicate possible
problems in study design (ambiguous inclusion criteria, misinterpretation of
questionnaire items) or product safety (occurrence of serious adverse
events, abnormal lab tests, or other safety markers). Enter the prevalence
rate you want to be able to detect (like one in a hundred), and the
probabibility you want to have of seeing at least one such event in your
sample (like 95% probability), and the page will tell you how many subjects
you need in the study.
- Online sample size calculator for pilot studies.
- Sample Size Determination -- For several situations: ANOVA
and 2-population economic sampling, correlation with acceptable absolute
precision, estimating the mean or proportion with acceptable absolute or
relative Precision, estimating the mean or proportion from finite
populations, and testing the mean or proportion based on the Null and an
Alternative.
- Power calculations for clinical trials and scientific
experiments -- this page contains a table for selecting appropriate
calculator, based on the type of study (parallel, crossover, or test of
association) and the type of outcome measurement (success/failure,
time-to-event, or a numerical quantity).
- Survival Analysis -- computes power, sample size, or
detectable-effect size in a two group design with a survival outcome.
- Generic Poisson Test -- select the Generic Poisson test
option, then click the Run Selection button.
- Exact power for the Fisher exact test
- Find sample size, power and minimal detectable difference for a:
- Links to printable copies (in Adobe Acrobat PDF format) of
many power tables including: Z Test, t-Test for One Sample or Two Related Samples, t-Test for Two Independent Samples, Analysis of Variance, Correlation Coefficient, and Required Sample Size for various tests
- Wald's Sequential Probability Ratio's -- for designing a
sequential experiment in which a decision is made after each observation
either to accept the null hypothesis, accept the alternate hypothesis, or
acquire more observations.
- Experimental Design...
- WebDOE(tm)
-- for "design of experiments". Searches for I-, D- and A-optimal designs
over continuous spaces. Factors may be continuous, fixed-level, or
qualitative. The site can handle inequality and equality (e.g., mixture)
constraints; provides color plots; performs one-click,
run-order-randomization; allows design import/export interoperable with most
3rd-party analysis software; provides OLS and BLUP fits; and includes an
extensive Classical Design Library(tm), including factorial,
fractional-factorial, Box-Behnken, central-composite, Plackett-Burman,
orthogonal array, and uniform designs. All designs may be evaluated under
the I-, D-, and A-, and S-optimality criteria, as well as for the maximum
distance between nearest-neighbor pairs of design points (maximin
criterion). The My WebDOE(tm) feature allows users to store their designs,
evaluations, and fits on-line. There is no need for user-provided
candidatepoints.
- Design and Analysis
of Comparative Experiments website by Horticulture Research
International -- provides facilities for the design and analysis of of
comparative experiments for biological and agicultural research based on a
range of experimental block and treatment structures. Constructs simple
experimental designs interactively and also constructs appropriate
statistical software for the analysis of the designs. Handles Randomised
block, Split-plot, Latin and incomplete Latin square, Trojan and incomplete
Trojan square designs.
- Tables of Latin Squares for
constructing "Williams design" experiments, in which every subject receives
every treatment. These designs are balanced for first-order carry-over
(residual effects). Tables are provided for experiments ranging from 2 to 26
treatments. Tables can also be downloaded as a text file and as an Excel spreadsheet.
-
More Latin Squares
- Sample-size calculations for parallel-group
equivalence and superiority trials with continuous or binary outcome
variables.
- EDGAR -- generates experimental designs and randomizes the
position of experimental treatments in the design, so that the subsequent
analysis of the data is comparatively straightforward
- Type I & II error criteria. [see Simon, Controlled Clin Trials,
10:1-10,1989]
Please send all suggestions for new pages, notifications for dead links, and other requests in an e-mail to statpages.org@gmail.com


This package defines the 'Ikon Do It' application that is used to demonstrate various points about the automated testing of user interfaces.


Conceptual Model
Entities and Attributes:
User
- userID
- userActivationToken
- userEmail
- userHash
- userName
Activity
- activityId
- activityCategory
- activityContent
- activityLat
- activityLink
- activityLng
- activityTitle
Like
- likeUserId
- likeActivityId
- likeDate
Relations
- many users to one activity
- many Likes to one activity
- one user to many likes


Static:
not affected by
top, bottom, left, and right
Relative:
is positioned relative to its normal position
Fixed:
is positioned relative to the viewport
Absolute:
is positioned relative
to the nearest positioned ancestor
Padding Shorthand
p {
padding: 50px 30px 50px 80px;
}
Tables
Jill
Smith
50
Eve
Jackson
94
Links
a:link - a normal, unvisited link
a:visited - a link the user has visited
a:hover - a link when the user mouses over it
a:active - a link the moment it is clicked
Ruby
Iterations
each: don't care about the indexes.
each_ with _index: acts like Hash
each_index: just the indexes.
Equivalent to "length.times".
map: is another way to iterate
useful when you want to
transform one array into another.
select: use when you want
to choose a subset
inject: generating sums or products,
or collecting a single result.
attr
attr_writer :age
That gets translated into:
def age=(value)
@age = value
end
attr_reader :age
That gets translated into:
def age
@age
end
attr_accessor :age
That gets translated into:
def age=(value)
@age = value
end
def age
@age
end
Comparison
== checks if objects are equal
to eachother
!= not equal to
<=> Returns 0 if first equals second
1 if first operand is
greater than the second
and -1 if first operand
is less than the second.
Printing
puts / print call the 'to_s'
method on the object AND return nil.
Return will be nill
Using 'p' calls
'inspect' method on the object.
The return statement is used to
return values from a Method.
Destructive vs Non
a = [9, 1, 6, 5, 3]
b = a.sort
c = [7, 6, 3]
c.sort!
a = [9, 1, 6, 5, 3]
b = [1, 3, 5, 6, 9]
c = [3, 6, 7]
var car = {
type:"Fiat",
model:"500",
color:"white"
};
Loops
for (i = 0; i < 5; i++) {
text += "The number is " + i + " ";
}
while (i < 10) {
text += "The number is " + i;
i++;
}
Functions
function myFunction(p1, p2) {
return p1 * p2;
}
Scope
var carName = " Volvo";
// code here can use carName
function myFunction() {
// code here can use carName
}
// code here can not use carName
function myFunction() {
var carName = "Volvo";
// code here can use carName
}


{% extends 'hazard/base.html' %} {% load static %} {% block head %}
Born and raised in Pakistan, migrated to the US in 2014. Have been working as a software engineer since March 2015 at a 3D person scanning startup Twindom in Berkeley. In addition to that, currently pursuing a Graduate Degree in Computer Science at San Francisco State University.
Originally from Maharashtra, India. Graduate student at San Francisco State University. Pursued
Bachelors in University of Pune, Maharashtra, India.
Cricket being the biggest part of his life, his passion for it is enough to keep him going even in the city like San Francisco!
Link to my about page
I am a senior Computer Science student at San Francisco State University set to graduate this semester. Currently I am enrolled in Artificial Intelligence, Biomedical Imaging and Analysis, Software Engineering, and other non-major upper division requirements.
Hello, My name is Mark. I am interested in Mobile and Web Development. I plan to pursue this field in the future. I enjoy going to hackathons every year and like to work with friends on mobile and web projects.


JupyterCon 2023
This is the first time I participated at a conference in Paris, also the first time participated at JupyterCon. It’s exciting to attend a conference without any expectations. I have made great connections, learn something new and had nice conversations with different people. The most fun part? The venue is a science museum and it matched the theme of the conference perfectly.
Keynotes, Talks and Tutorials
There are 3 keynotes in total, every day the conference kicks off with a keynote. The first day, it was a keynote by the team from GitHub, I was not too interested so I gave it a pass.
On the second day, we have Professor Alyssa Goodman giving a talk about the projects related to Glue - a 3 dimensional VR tool that is very useful in astronomy and beyond. She reminds us to not use our computer during her talk and show us why it is important to see things in 3D.
Prof. @AlyssaAGoodman is giving a keynote about Glue - extra point if you keep your laptop closed while listening #JupyterCon2023 @JupyterCon pic.twitter.com/5rzg6PiLw7
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 11, 2023
On the third day, we have Nobel prize winner Paul Romer giving his “lecture” style keynote - there were equations, quite a lot of them (considered you have been warned). It was very tough for me to attend a lecture at 9 in the morning during my university years and listening to his keynote at 9 am reminded me of this. Nether the less, he has delivered a very good message and idea - make Jupyter Notebook an interactive pdf by adding the SHA sign feature.
Signing is not enough, you need infa to publish keys, and trust people. or keys can be made in active. pic.twitter.com/1pswL6fhKS
— JupyterCon 2023 (@JupyterCon) May 12, 2023
Other than the keynotes, I didn’t go to many talks, there are all recorded and I was carried away with chatting with people a lot of times. There are a few that I enjoyed.
One of the talks was by Jeremy, the maintainer of JupyterLite. It inspires me to try using it in workshops but this brings me to finding a bug during the sprint.
#JupyterCon2023 @JupyterCon @jtpio is talking about Jupyter Lite pic.twitter.com/UI2gXvt81G
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 10, 2023
Another one is by Pavithra, who is the developer advocate of QuantSight, she is so sweet and it’s nice to see her in person. And she delivers her talk very well.
@pavithraes is taking about community backed OSS @JupyterCon #JupyterCon pic.twitter.com/bHO93VKU0e
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 12, 2023
I also gave a talk about memory profiling on Jupyter, I was given the room that is used for the keynote so it is only 20% full - I think there may be around 80 people there. I also gave too many lighting talks at the conference… I hope the competition will be keener next time.
I also went for one tutorial (actually half) about security in Jupyter - I think it is interesting but when it get to the hands-on exercise part, I ran for some fresh air in the hallway.
Hall Track and Social event
There are quite a lot of sponsors at the venue, including Anaconda - our booth is a good place to meet colleagues and chat with people. It is a small booth and is at the back next to the NumFocus booth so it is not busy a lot of times.
I also talked to other sponsors and see if they are interested to sponsor other conferences that I organised. There’s one interesting booth with a Robot that can talk to you - it is connected to ChatGPT so it is fun to interact with it. After interacting with it for a while I found it quite adorable and now I want a robot too.
Robot selfie with Pepper at #JupyterCon @JupyterCon pic.twitter.com/8bQw7FC7p8
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 11, 2023
There’s also a PyLadies booth on the top floor, I often go there to chat with my friends who organise PyLadies Paris and Berlin. It is also a gathering place for PyLadies Lunch.
Having a great time at @JupyterCon with my fellow @PyLadiesParis friends. 🥳 If you are attending the conference make sure to visit us today at our booth for a @pyladies lunch! 🍛🥗 #Diversity #WomenInSTEM #WomenInTech pic.twitter.com/J1FbpHZW7B
— Maren Westermann (@MarenWestermann) May 12, 2023
I also sometimes take calls at the side ally of the hallway, it is mostly quiet - and even quieter than the quiet room sometimes (I am not supposed to take calls in the quiet room anyway) cause people were chatting in the quiet room occasionally - I think the organisers need to remind people not to do that.
On the second day, we have a poster session before the reception (there are food and drinks there already) and I like how it is organised, it encourages people to go see the poster presentations.
It was great to meet everyone at the @JupyterCon reception tonight!
— Sylvain Corlay (@SylvainCorlay) May 11, 2023
With a great view of La Géode of @citedessciences! pic.twitter.com/b0rUmgezpG
After the poster session, it is the drink reception and the food is absolutely amazing. It is in the museum space and there were some creative ways of presenting the food - one canopy dish looks like a fruit that got picked from a plant; there’s a chocolate egg that was cracked with a hammer before serving… I think it’s one of my favourite social events.
People I met
Usually what makes me think the trip is worthwhile is because of all the people that I met and connected with. It’s great to meet up with old friends and make some new ones.
I am so glad to be able to have a chat with Carol again! She is so so so kind and inspiring and sometimes I feel like there’s a queue of people wanting to talk to her. I am glad to be able to “get a seat” and she is very warm and kind and has given me good advice.
Having a bunch of great conversations #JupyterCon2023. Really great to see so many folks and cool stuff.
— Carol Willing (@WillingCarol) May 10, 2023
Besides, I have a friend that I have not met in a while - Sandrine who founded Humble Data with me is also organising the conference, she is super busy and we didn’t get much time to hang out but we had a good chat during the conference.
Other conference friends that I have not met for a while are Vishal and Tereza, together with Noa we went for dinner one evening and it was a very enjoyable experience.
It was a very nice dinner with Noa, Vishal and @terezaif We eat a lot and laugh a lot - especially when the dessert arrived… It’s a nice #JupyterCon memory pic.twitter.com/U0xdStInls
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 11, 2023
It was also great to chat with Pravitha from QuantSight and Sarah who used to work in the Alan Turing Institute. She is also leading the project Jupyter.
I also had dinner with the PyLadies Organisers, folks in the Scikit Learn team, Matt - code maintainer of Dask and Paul - the developer advocate of Capital One.
One more, I met Stephannie, a speaker who’s from Colombia, I got a handmade Jupyter ball from her.
💥 Had a blast at @JupyterCon, thanks to all the organizers and attendees 🤗 pic.twitter.com/qqhWCfcbK3
— Stephannie Jimenez (@StephannieJime2) May 13, 2023
Sprints
Since I was trying to use JupyterLite, I found out that some magics do not work as it does in JupyterLab. It brings me down a rabbit hole of looking at the iPython kernel code and JupyterLite code. Jeremy showed me how to see the message getting sent from the Jupyter frontend to the kernel at JupyterLab and how it is replicated in JupyterLite. It is fascinating. I am not sure I will be able to find the problem and fix it but it is a study opportunity for me.
Self organising sprints at @CarrNum ! pic.twitter.com/N1mmvojaIz
— JupyterCon 2023 (@JupyterCon) May 13, 2023
I also realised that Jeremy is very kind and helpful. A few people are using JupyterLite and needing his help, he just keeps helping people and was so busy at the sprint. I didn’t work on any Scikit Learn issues but the person next to me did, he is a new contributor and Guillaume was so patient and give him a one-to-one mentored sprints - walking through all the basics of open-source contribution principles. I wish I can invite them both to the mentored sprint in the future.
Overall, I had a good time (I think I said that a lot going to Python community conferences) and I think the conference is a success. I made some good connections in the community and learnt some new things.
Thank you the organizing team of @JupyterCon #JupyterCon2023 I really like this conference and thank you for making it happened ❤ pic.twitter.com/gDMuaFaH9S
— Cheuk Ting Ho at #JupyterCon (@cheukting_ho) May 12, 2023
A small episode when I try to get my train home - it was cancelled and I had to sneak on the previous one, I was so scared that I will not be able to get home and got sucked into Paris.


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The Plastic Oceans site is under development.
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. .-.. . -.-. - .-. --- -. .. -.-. ... / .... --- -... -... -.-- / -.-. .-.. ..- -...
Electronic Hobby Center is a student run organization of Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT). The centre is meant to provide the students a platform where they can unleash their creative skills and talents especially related to electronics without any boundations. The ideology of the centre is be the best in Electronics ""Towards Electro Excellence"". The defination of democracy i.e.for the students, by the students and of the students holds good for the centre. This hobby center initiated by Prof. Suryakant Ingle (Former Professor, DA-IICT) and Bhupesh Batra (B. Tech 2001) facilitates designing, testing and fabrication of various electrical, electronic and electromechanical gadgets/devices. Students not only gain practical methods of learning but also get a platform to try out their creative skills. It initiates them into art of making electronic things with their own hands and furthermore helps them in their final year project. The center organizes various technical and non-technical events from time to time like Technical Paper Presentation, Technical Debates, Robotics, CRO Revolution, Circuit building and trouble shooting and Educational cum sight seeing tours. It also organizes various Labs, Lectures and Doubt solving sessions on different topics from time to time. Apart from above mentioned technical aspects, EHC also help students in building team spirit by encouraging them to work together. The organization motivates capable students to learn technique of decision-making and managing things and develop all-round ability by making them part of many committees within itself which are meant for overall coordination and organization of different activities and events throughout the year. We always welcome suggestions for improvement.
We are just an e-mail away. E-mail your queries here.


USD/JPY Technical Analysis: Doji on D1, 200-day SMA question buyers
by Anil Panchal- USD/JPY rises to 23.6% Fibonacci retracement after posting a Doji on Friday.
- 200-day SMA keeps the quote’s upside capped for the last two weeks.
- 50-day SMA, 38.2% Fibonacci retracement limit near-term declines.
Although it is trading near a four day high, around 108.75 by the press time of early Monday, the USD/JPY pair confronts short-term resistance following a trend reversal candlestick formation flashed the previous day.
With the Friday’s Doji candlestick formation on the daily (D1) chart increasing odds for the pair’s pullback, sellers look for entry below 50-day Simple Moving Average (SMA) and 38.2% Fibonacci retracement of October-November upside, around 108.35/30.
In doing so, the monthly bottom surrounding 107.90 and 61.8% Fibonacci retracement level close to 107.62 will be on bears’ radar.
Alternatively, pair’s upside beyond 23.6% Fibonacci retracement of 108.80 will need to cross a 200-day SMA level of 109.00, which in turn could propel prices towards the monthly top around 109.50.
USD/JPY daily chart
Trend: Pullback expected
additional important levels
| Overview | |
|---|---|
| Today last price | 108.78 |
| Today Daily Change | 15 pips |
| Today Daily Change % | 0.14% |
| Today daily open | 108.63 |
| Trends | |
|---|---|
| Daily SMA20 | 108.76 |
| Daily SMA50 | 108.29 |
| Daily SMA100 | 107.72 |
| Daily SMA200 | 108.96 |
| Levels | |
|---|---|
| Previous Daily High | 108.73 |
| Previous Daily Low | 108.47 |
| Previous Weekly High | 109.08 |
| Previous Weekly Low | 108.28 |
| Previous Monthly High | 109.29 |
| Previous Monthly Low | 106.48 |
| Daily Fibonacci 38.2% | 108.63 |
| Daily Fibonacci 61.8% | 108.57 |
| Daily Pivot Point S1 | 108.49 |
| Daily Pivot Point S2 | 108.35 |
| Daily Pivot Point S3 | 108.23 |
| Daily Pivot Point R1 | 108.75 |
| Daily Pivot Point R2 | 108.87 |
| Daily Pivot Point R3 | 109.01 |


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{Staying at home and self-isolating can be difficult, stressful or inconvenient but by self-isolating you're saving lives. There are things you can do now to help you if you need to self-isolate in the future.
Getting food, medication and other supplies
Food:
- set up an online account with your supermarket
- have a small supply of basic essentials with long shelf lives ready
Medication:
- contact your local council and ask if your medication can be delivered by your local community hub
- ask your local pharmacy if they can deliver your medication
- sign up online to have your prescription delivered by Boots, Pharmacy2U or Well
While you're ill, ask a friend, family member or neighbour to check up on you. Arrange a regular call or talk though a doorway (not face to face) so they can check how you're doing.}
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EPICS:
Experimental Physics and Industrial Control System
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Sans I/O — sans-io.readthedocs.io
- Separate implementation of network protocol rules from pushing bits around
- Have a core state machine that enforces the rules
- You hand it bits from the wire and it gives you back nice python objects that mean something
- You hand it nice python objects and hands you back the bits to push over the wire
- Cory Benfield, Brett Cannon, Nathaniel Smith
Caproto = CA + proto
- Pure python (3.6+) implementation of CA protocol
- Have server implementations for
{asyncio, curio, trio}
- Have client implementations for {threads, sync}
- Runs on:
- Your desktop
- Your laptop
- Your raspberry pi
- Your phone
- Scales down to hobbyist-scale projects
Try it!
python -m pip install caproto
Examples for RaspberryPi and iOS:
github.com/caproto


In order to win you must win more rounds as the computer.
There are two players: the computer and you.
The game consists of more rounds. The overall score is displayed near the "Start new round" button in the "Start Round" Tab.
The game board is a chess board like square grid. You must place 3 planes on the grid and the computer as well 3 on its own. You will not be able to see where the computer has placed its planes. The placed planes should not overlap and should not lie outside the board. Near the allowed area for the planes, 3 more square layers, marked with a different color are added. These will allow you to rotate the plane outside the playable board when positioning it.
The game consists of a set of rounds. The first round will start immediately when the program is started. The other rounds are started by clicking on the "Start new round" button in the "Start Round" Tab.
In order to win a round you must guess the position of the heads of the planes placed by the computer on its board before the computer guesses the same for your planes.
A round has two phases: during the first you position the planes on your grid, while during the second you must guess the position of the planes position by the computer on its grid. To position your planes you select a desired plane and then with the corresponding buttons in the interface you can translate it to the left, or to the right, upwards or downwards or rotate it. The selected plane can be changed with the help of a selection button. Once you have positioned your planes you can click on the done button to start guessing the computer's planes. Guessing is achieved by clicking on the squares where you think a plane head lies. The computer will mark the square with a circle when you did not click on a plane, with a rhombus when you have guessed a plane point but not a plane head and with a X when you have guessed a plane head. The statistic of your attempts is given in the left panel near the game board. Similarly a statistic for the computer's attempts is displayed as well.


{% block javascript %} {% endblock %}
Personal Room
Test Room: {{code}}
Add Songs:
{%csrf_token%}
{% for song in songs.values %}
{{song}}
{% endfor %}
Added Songs:
View Playlist in Spotify


How to Change from Gecode 4.4.0 to Gecode 5.0.0
As Gecode 5.0.0 is a major revision, your programs that are written for Gecode 4.4.0 are likely to require some modifications, yet very few, before they work again.
Removed Brancher Handles
Brancher handles have been removed as they can be expressed easily by brancher groups, please consult MPG for details.
New Integer Propagation Levels
The concept of integer consistency level "IntConLevel" has been replaced by integer propagation level "IntPropLevel". In most cases it should be sufficient to:
- search and replace ICL_ by IPL_.
- search and replace IntConLevel by IntPropLevel.
- use the commandline option -ipl rather than -icl.
Integer propagation levels are more expressive than integer consistency levels. They can also express other propagation preferences such as speed, memory, basic, or advanced. Please consult MPG for details.


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