- Subject:
- Statistics and Probability
- Material Type:
- Module
- Level:
- Community College / Lower Division, College / Upper Division
- Provider:
- Ohio Open Ed Collaborative
- Tags:
- License:
- Creative Commons Attribution Non-Commercial
- Language:
- English
- Media Formats:
- Text/HTML
Chapter Exercises
Key Terms
Lab - Contingency Table
Spreadsheet Calculations - Chi-Square Test for Independence
Contingency Tables
Overview
An association between two variables explains how one variable changes in response to changes in the other variable. A lack of association indicates that the two variables are independent of each other, meaning the chances of events of one variable are not affected by the occurrence or non-occurrence of events of the other variable. In this module we will learn about the different tools used for analyzing associations in two-variable categorical data sets.
Learning Objectives:
- Identify response and explanatory variables
- Organize data into two-way tables
- Study joint, marginal and conditional distributions and learn the relationship between them
- Observed and expected frequencies, Chi-Square test statistic
- Chi-Square test of independence – set up hypothesis, use technology to run the test and interpret P-value
Textbook Material -
· Chapter 11.3 – Test of Independence – Pages 627 - 632
Chapter Exercises
Suggested Exercises – odds 86 - 100
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Class Worksheet
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Lab
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Key Terms
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Course Video Resources
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