 In our next chapter on t-tests in Chimovi, we're going to go from the piece to the whole. That is, we're going to start with inferential statistics, which allows us to describe a sample of data that we have in front of us, and then use that to describe a population, something larger and more than what we observed. We are using the sample to infer things about the population. And the t-test is the simplest and most direct way to get started with this. In this chapter, we're going to talk about three kinds of t-tests. First, we'll look at the independent samples t-tests that you use to compare two group's means to each other. The second is the paired samples or repeated measures t-tests, where you're looking for changes in scores from time one to time two for one group of people. And third is the one sample t-test, where you're taking one sample's mean and comparing it to a known population mean. Putting together the three of these serve as an excellent introduction to the concept of inferential statistics and going from the specifics of your sample at hand and generalizing to the population at large.