Description
- 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 variablesOrganize data into two-way tablesStudy joint, marginal and conditional distributions and learn the relationship between themObserved and expected frequencies, Chi-Square test statisticChi-Square test of independence – set up hypothesis, use technology to run the test and interpret P-valueTextbook Material - · Chapter 11.3 – Test of Independence – Pages 627 - 632
- Subject:
- Statistics and Probability
- Level:
- Community College / Lower Division, College / Upper Division
- Material Type:
- Module
- Provider:
- Ohio Open Ed Collaborative
- Date Added:
- 07/03/2018
- License:
-
Creative Commons Attribution Non-Commercial
- Language:
- English
- Media Format:
- Text/HTML
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