One and Two Sample T tests are used to resolve hypothesis tests around comparing process means. The underlying chart makes use of the T distribution.

The one and two sample proportion hypothesis tests involving one factor with one and two samples, these tests may assumes a Binomial Distribution.

1 sample Wilcoxon Non Parametric Hypothesis Test is a rank based test and it compares the standard value (theoretical value) with hypothesized median

The 1 sample sign non parametric hypothesis test simply computes a significance test of a hypothesized median value for a single data set.

The Friedman non parametric hypothesis test is an alternative to the one-way ANOVA with repeated measures and it was developed by Milton Friedman.