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Midterm prep: categorical data, GLMs
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Module 1
Foundations of Categorical Data
1
Properties of Common Distributions
Review key properties (pmf/pdf, mean, variance) of Binomial, Poisson, and Normal distributions.
2
Sampling Schemes: A Comparative Analysis
Distinguish between Binomial, Poisson, and Product/Independent multinomial sampling schemes from a study description.
3
Contingency Tables: Row vs. Column Percentages
Construct a contingency table and determine whether to use row or column percentages based on the sampling scheme.
4
Formulating Hypotheses for Contingency Tables
Formulate the appropriate null hypothesis (homogeneity vs. independence) for a contingency table based on the sampling scheme.
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Contingency Table Analysis: Chi-Square and Fisher's Tests