The document provides an introduction to t-tests, including the t-test for a single sample and the t-test for dependent means. It explains that t-tests are used when the population variance is unknown, and compares t-tests to Z-tests. The key steps for conducting a t-test for a single sample and a t-test for dependent means are outlined. These include restating the hypotheses, determining characteristics of the comparison distribution such as the population mean and variance, finding the cutoff score, determining the sample's score, and deciding whether to reject the null hypothesis. Examples are provided to demonstrate how to perform each type of t-test.