ABSTRACT
This chapter discusses the use of Dependent Samples t Test as a test of the difference between two related samples. It explores the results through the probability level that the null hypothesis is true. The purpose of Dependent Samples t Test is to compare the difference between two related or depended samples. Similar to Independent Samples t Test, Dependent Samples t Test compares two means. However, these two means come from one sample with repeated measures or from two matched samples. In both examples, the Dependent Samples t Test procedure requires one continuous data and one categorical data with two categories. This is no different from Independent Samples t Test, as well as the assumption of normality of data, but the Dependent Samples t Test assumes that while the samples are related, the observations are independent. In the Dependent Samples t Test, the standard error of the difference between means is calculated differently from the Independent Samples t Test.
