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Midterm prep: categorical data, GLMs
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Module 8
Exam Strategy and Application
1
Choosing Between Contingency Tables and GLMs
Given a problem description, decide whether a contingency table analysis or a GLM is the more appropriate method.
2
Choosing the Right Test: Chi-Square vs. Exact Test
For a contingency table problem, determine whether to use a chi-square test or an exact test based on sample size.
3
Chi-Square and Fisher's Exact Test Application
Solve an application problem requiring a chi-square or Fisher's exact test, from problem setup to final conclusion.
4
Logistic Regression: From Problem to Interpretation
Solve an application problem requiring a logistic regression model, from model specification to coefficient interpretation.
5
Choosing the Right Statistical Test
From a list of mixed problem descriptions, correctly identify the required statistical analysis for each without solving.
End of course,
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Applied GLM: Logistic Regression
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