Section 5: More Theory & Practice


In this section, we delve into some of the deeper theory of estimation and hypothesis testing, including:

  • finding statistics that are sufficient for a parameter
  • defining the power of a hypothesis test
  • determining the sample size necessary for conducting a "powerful" hypothesis test
  • investigating the properties a "good" hypothesis test should possess
  • defining and deriving likelihood ratio tests

We also get some practice on choosing an appropriate statistical method for analyzing a given set of data.