Statistical Testing Calculators


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Statistics

Descriptive
Estimation
Multivariate
Probability
Regression
Testing
Tutorials

Testing and Comparison

Means

Hypothesis Testing of Means -- Test a sample mean against a hypothesized value using the t-test.
Two Independent Sample Means -- t-Test for two independent sample means, using summary data
Two Dependent Sample Means -- Test the difference between two dependent means using the t-test, using summary data
ANOVA: ANalysis Of VAriance between groups -- one-way analysis of variance for comparing two or more independent samples
The Sign Test -- a simple one-sample nonparametric difference test
The Median Test -- a simple two-sample nonparametric difference test
The Wilcoxon Matched-Pairs Signed-Ranks Test -- a nonparametric test that checks whether two paired samples are different.
The Wilcoxon Two Sample Test -- a nonparametric test that checks whether two unpaired samples are different

Proportions

Hypothesis Test of a Proportion -- Test a population proportion using summary data.
Binomial Proportions -- binomial test for comparing two proportions

Counts

Fisher Exact Test -- test for differences in a 2x2 table.
Contingency Tables -- test for differences in a table with 2 or more rows and columns.
Chi-square test for equality of distributions -- the chi-square test for tabled frequency data, where it is assumed all samples have the same frequency distribution.
Chi-square test for known distributions -- chi-square test where the samples are tested against a known distribution. "This test checks whether an observed distribution differs from an expected distribution."
McNemar's Test -- "This non-parametric test uses matched-pairs of labels (A, B). It determines whether the proportion of A- and B-labels is equal for both members."
Friedman Test -- a test of group differences using ranked observations
Contingency Table Analysis for Ordinal (sequenced) Categories -- tests for differences within a table "whose row and column categories form ordered sequences".