The document discusses Student's t-test and its applications. It begins by defining a Student's t-test as a statistical hypothesis test where the test statistic follows a Student's t-distribution if the null hypothesis is true. It then describes how the Student's t-distribution arises from independent, normally distributed random variables. Finally, it outlines three common types of t-tests: the independent one-sample t-test to compare a sample mean to a hypothesized population mean; the independent two-sample t-test with equal sample sizes and variances; and the independent two-sample t-test with unequal sample sizes but equal variances.