STA 327 Categorical Data Analysis (3 credits)

Hours: 3 classroom + 0 lab/studio
Prerequisite(s): C- or better in STA 305
Taught: Variable, check with department
A study of categorical variables and their analyses. Topics include: 2- way contingency tables; difference in proportions; marginal and conditional probabilities; independence; chi-square tests; relative risks and odds ratios; Simpson’s paradox; logistic regression; Poisson regression; use of advanced statistical software (such as R, SAS). Other topics, time permitting.
Repeatable: No
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inside NKU

STA 327 Categorical Data Analysis (3 credits)