Objectives:
- Understand what is a hypothesis
- Be able to conduct a hypothesis test about a population mean
- Be able to conduct a hypothesis test about a population proportion
- Be able to distinguish between a one-tailed and two-tailed hypotheses tests
- Be able to define and distinguish between Type I and Type II errors
Reading For This Module:
Chapter 10 – Textbook
Lecture Power Point (.pptx)
Opening Vignettes:
Introduction:
In the previous chapter we calculated confidence intervals, which gives us a range of values in which the population parameter (mean) is expected to occur. Now we conduct a test to examine the validity of a statement (hypothesis) about a population parameter. Some examples of such a statement that we might be interested in testing include;
- The average delivery time for a pizza company
- The average grade earned by student in statistics
- The average starting salary of graduates of business schools
Hypothesis – A statement about a population parameter. For example, we want to test that the average GPA of business students is greater than 2.0
Dr. Waller Lecture: Hypothesis Testing (video)
Lecture Power Point (.pptx)
Reflection:
Practice Quiz
Practice Quiz for this module, feel free to take multiple times.