Summarize each of the following tests:

Normal test for a single population mean when the standard deviation is known

ttest for a single population mean when the standard deviation is unknown

Nonparametric sign test for a single population median

Independent samples normal test for the difference between two population means when the standard deviations are known

Independent samplesttest for the difference between two population means when the standard deviations are unknown

Nonparametric independent samples Mann-Whitney-Wilcoxon rank-sum test for the difference between two populations

Matched samplesttest for the difference between two population means when the standard deviations are unknown

Nonparametric matched samples sign test for the difference between two populations

Nonparametric matched samples Wilcoxon signed-ranks test for the difference between two population medians

Independent samples normal test for the difference between two population proportions

Chi-square test of homogeneity for the equality of multiple population proportions

Chi-square test of independence of two categorical variables

Chi-square goodness of fit test

One-way analysis of varianceFtest for the equality of multiple population means

Nonparametric Kruskal-Wallis test for the equality of multiple populations

Two-way analysis of varianceFtest for a randomized block design

Two-way analysis of varianceFtests for a factorial design