The steps of a hypothesis test - for ANY hypothesis test - are always the same. This includes not only the z-test introduced in this chapter, but also all other types of hypothesis tests introduced in the chapters to come.
1048 learners taking this course
In the chapters that follow, you’ll be introduced to several different formulas for hypothesis tests. Each of these formulas is designed for a different set of conditions (number of populations being studied, type of data collected, focus of the study, etc). This video explains when to use the z-test population of μ.
There are a few reasons someone would determine the value of a p-value:
- The p-value is an alternate method for deciding whether or not to reject Ho (as opposed to using a rejection region)
- The p-value tells you the exact probability of selecting a sample as rare as the one you have - given that the Ho is true (the rejection region does not do this)
- It will get you the mark you need when asked to 'calculate the p-value' :)
Calculating Beta (the probability of making a Type II error) is one of the most challenging problems you'll face on the final exam. In this video I'll run you through the many steps involved.
In this video I just solve the problem without all of the extra theory added in. This is exactly the set of steps you'll need to perform on your exam.
With a two tailed (=,≠) hypothesis test there are two rejection regions. This adds an extra step to finding Beta. I'll show you here how to handle this variation of a Type II error calculation here.
Test your understanding of Chapter 11: Introduction to Hypothesis Testing . Each question is accompanied by a mini-video lecture showing you how I decided which solution was the correct one.