HYPOTHESIS TESTING. COMPARISON OF TREATMENTS
Part 2 begins with two short chapters which are somewhat unique because they are not directly devoted to data analysis. Chapter 7 is about generating random numbers, which allows the resolution of problems by simulation (in that chapter we offer a simple example), and testing what would happen if data had some regularity as indicated by a specific distribution. The chapter also explains how to enter data in a patterned way, something useful when we want to identify the origin of each observation. Chapter 6 is about computing probabilities with Minitab. It finishes with an application: calculating the sigmas of a process (the famous 3.4 ppm of a Six Sigma process appears here).
The core of Part 2 is dedicated to hypothesis testing, the name given to the reasoning procedure that we follow when performing a statistical test. The skeleton of this frequently-used reasoning procedure is the following: