## 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)

**Lecture Power Point**

## Reflection:

## Practice Quiz

**Practice Quiz **for this module, feel free to take multiple times.