Chapter 4 The Central Limit Theorem

The Central Limit Theorem (henceforth, CLT) is one of the most important conceptual parts of inferential statistics. It is the essential reason why we can make educated guesses regarding the parameters of a population using information on the statistics of a sample. The CLT will going on in the background of every subsequent chapter of this course companion. Doing statistics without fully understanding the CLT is simply going through the motions. You will not be able to fully appreciate inferential statistics without knowing what is really going on beneath the hood.