Compare Means

Compare Means use parametric methods. Parametric implies that a distribution is assumed for the population. Often, an assumption is made when performing a hypothesis test that the data are a sample from a certain distribution, commonly the normal distribution.

 

One-sample t Test
Tests whether the mean of a single variable differs from a specified constant.

Two-Sample t Test
Tests whether two samples from a normal distribution could have the same mean when the standard deviations are unknown but assumed to be equal.

One-Sample Z Test
Determines whether a sample from a normal distribution with known standard deviation could have a given mean.

Two-Sample Paired t Test
Tests the null hypothesis that the population mean of the paired differences of two samples is zero.

Two-Sample F Test
Tests if the variances of two populations are equal.