Statistics: Advanced Stat Methods & Theory

Parametric and non-parametric two-sample tests. Multiple regression and correlation. Matrix representations. Basic experimental design. Analysis of variance (fixed, random, and mixed models). Statistical Software usage. Prerequisites: Graduate student or Instructor permission; content knowledge of STAT 2830 assumed.

Prereqs: C or better in STAT 2830, or STAT 1410, or Instructor permission; Colocated with STAT 3210; Total combined enrollment: 35; Open to Degree and PACE students

This will be a primarily flipped class, where you will be responsible for reading & viewing the text & pre-class videos before working on the material in class. This pre-class work will be assessed each day. The class will consist of a mixture of lecture, discussion, and projects to highlight particular topics. It would be impossible, however, for these to encompass all of the material for the course. There will be material in the text for which you will be responsible that we will not cover explicitly in class. I expect that you will read the material in the text before we discuss it in class. Key topics are: *Straight-Line Regression Analysis *The Correlation Coefficient and Regression Analysis *The Analysis of Variance (ANOVA) Table *Multiple Regression Analysis: General Considerations *Testing Hypothesis in Multiple Regression *Correlations: Multiple, Partial, and Multiple Partial *Confounding and Interaction *Regression Diagnostics *One-Way ANOVA *Two-Way ANOVA

Students should expect three or more hours of work outside of class for every hour of class time. Reading the text and viewing pre-class videos for each class will be an ongoing homework assignment throughout the course. Homework assignments will be listed on the class webpage. Late assignments will not be accepted.

Final grades will be determined by exams/quizzes, homework, and participation in class discussions