# SPSS t-test Tutorials – Overview

A t-test compares two means. There are three different t-tests, each of which has its own tutorial.

# One-Sample T-Test

The one sample t-test compares the mean of **one variable** for **one group** with a given value: was the mean income over 2015 equal to $30,000,-?

# Independent Samples T-Test

The independent samples t test compares the means of **one variable** for **two groups** of cases. For example, did men and women have the same mean income over 2015?

# Paired Samples T-Test

The paired samples t-test compares the means of **two variables** for **one group**. For example, was the mean income over 2015 the same as the mean income over 2014?

The paired-samples t-test is equivalent to running a one-sample t-test on the difference scores between the two variables. The null hypothesis is that the mean population *difference score* is zero, which implies that the two variables have equal means.

# SPSS T-Test Tutorials

## SPSS One Sample T-Test

SPSS one-sample t-test is used for testing whether the mean of one metric variable is equal to some hypothesized population value. Read More

## SPSS Independent Samples T Test

SPSS independent samples t-test is a procedure for testing whether the means from two groups of cases on one metric variable are equal. The two groups are usually identified by a dichotomous variable. Read More

## SPSS Paired Samples T Test

SPSS paired samples t-test is a procedure for testing whether the means of two metric variables are equal. Both variables have been measured on the same cases. Read More