Skip to main content

T-test functions

T-test functions are used for statistical examination of two population means. A two-sample t-test examines whether two samples are different and is commonly used when two normal distributions have unknown variances and when an experiment uses a small sample size.

In the following sections, the t-test statistical test functions are grouped according to the sample student test that applies to each type of function.

Use the drop-down on each function to see a brief description and the syntax of each function. Click the function name in the syntax description for further details.

See: Creating a typical t-test report

Two independent samples t-tests

The following functions apply to two independent samples student's t-tests:

Two independent weighted samples t-tests

The following functions to two independent samples student's t-tests where the input data series is given in weighted two-column format:

One sample t-tests

The following functions apply to one-sample student's t-tests:

One weighted sample t-tests

The following functions apply to one-sample student's t-tests where the input data series is given in weighted two-column format:

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!