ABSTRACT
This chapter uses an example to demonstrate how the independent t test works. The dependent/correlated t test compares the means of two 'related groups' to detect whether there is any statistically significant difference between these means. A dependent t test is an example of a within-subjects or repeated-measures statistical test and is most appropriate for a research design in which the same subjects are tested more than once. Looking at the Independent Samples Test table, the Levene's Test for Equality of Variances tests the assumption of Homogeneity of variance. The dependent t test is an example of a 'within-subjects' or 'repeated-measures' statistical test and indicates that the same subjects are tested more than once. The relationship between group means and their variability is reflected in the formula for the t test. The formula for the t test is essentially a ratio in which the top part of the ratio is just the difference between the two groups' mean scores.
