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Tests Commands
The Statistics package provides various parametric and non-parametric tools for performing hypothesis testing and statistical inference.
ChiSquareGoodnessOfFitTest
apply the chisquare test for goodness-of-fit
ChiSquareIndependenceTest
apply the chisquare test for indepenence in a matrix
ChiSquareSuitableModelTest
apply the chisquare suitable model test
OneSampleChiSquareTest
apply the one sample chisquare-test for the population standard deviation
OneSampleTTest
apply the one sample t-test for the population mean
OneSampleZTest
apply the one sample z-test for the population mean
ShapiroWilkWTest
apply Shapiro and Wilk's W-test for normality
TwoSampleFTest
apply the two sample F-test for population variances
TwoSamplePairedTTest
apply the paired t-test for population means
TwoSampleTTest
apply the two sample t-test for population means
TwoSampleZTest
apply the two sample z-test for population means
Notes
All tests generate a complete report of all calculations in the form of a userinfo message. In order to access these reports when applying tests, specify infolevel[Statistics] := 1.
Examples
Build a sample from a Rayleigh distribution and compare with the population mean and population standard deviation.
Test that the sample S is drawn from a population with mean equal to 8 and standard deviation equal to 5.
Test that the sample S is drawn from a population with mean equal to 8 with unknown standard deviation.
Test that S is drawn from a normal distribution.
Test that Normal(8.77,4.59) is a suitable model for the population of S.
Test for independence in a 3x2 table.
See Also
Statistics, Statistics[Computation]
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