The University of Texas at Austin 3 credits Statistics and Data Sciences
Explore the use of regression analysis in applied research and learn about multiple linear regression; ANOVA; logistic regression; random and mixed-effects models; and models for dependent data. Engage in the identification of appropriate statistical methods and interpretation of software output. R programming is introduced. Statistics and Data Sciences 324E and 332 may not both be counted. Three lecture hours a week for one semester. Pre/Corequisites: Statistics and Data Sciences 302F and Statistics and Data Sciences 322E or Statistics and Data Sciences 320E.
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