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Understanding Bivariate Association: Key Concepts and Statistical Tools

In today’s lecture, we explore the concept of bivariate association, focusing on the relationship between two variables. We will cover essential topics including association and correlation, and delve into the analysis of nominal data using Chi-Square tests for assessing independence in contingency tables. Additionally, we’ll introduce Phi and Cramer’s V as measures of association strength. Reference materials include Burt and Barber’s insights on Chi-Square independence and basic associations, enhancing our understanding of these critical statistical concepts.

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Understanding Bivariate Association: Key Concepts and Statistical Tools

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