Documentation

Hypothesis Tests

t-test, F-test, chi-square goodness-of-fit test, and more

Statistics and Machine Learning Toolbox™ provides parametric and nonparametric hypothesis tests to help you determine if your sample data comes from a population with particular characteristics.

Distribution tests , such as Anderson-Darling and one-sample Kolmogorov-Smirnov, test whether sample data comes from a population with a particular distribution. Test whether two sets of sample data have the same distribution using tests such as two-sample Kolmogorov-Smirnov.

Location tests, such as z-test and one-sample t-test, test whether sample data comes from a population with a particular mean or median. Test two or more sets of sample data for the same location value using a two-sample t-test or multiple comparison test.

Dispersion tests, such as Chi-square variance, test whether sample data comes from a population with a particular variance. Compare the variances of two or more sample data sets using a two-sample F-test or multiple-sample test.

Determine additional features of sample data by cross-tabulating, conducting a run test for randomness, and determine the sample size and power for a hypothesis test.

Functions

Distribution Tests

adtest Anderson-Darling test
chi2gof Chi-square goodness-of-fit test
crosstab Cross-tabulation
dwtest Durbin-Watson test
fishertest Fisher's exact test
jbtest Jarque-Bera test
kstest One-sample Kolmogorov-Smirnov test
kstest2 Two-sample Kolmogorov-Smirnov test
lillietest Lilliefors test
runstest Run test for randomness

Location Tests

friedman Friedman's test
kruskalwallis Kruskal-Wallis test
multcompare Multiple comparison test
ranksum Wilcoxon rank sum test
sampsizepwr Sample size and power of test
signrank Wilcoxon signed rank test
signtest Sign test
ttest One-sample and paired-sample t-test
ttest2 Two-sample t-test
ztest z-test

Dispersion Tests

ansaribradley Ansari-Bradley test
barttest Bartlett's test
sampsizepwr Sample size and power of test
vartest Chi-square variance test
vartest2 Two-sample F-test for equal variances
vartestn Multiple-sample tests for equal variances

Examples and How To

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