Please use the links below to access the content for each topic (week). Please review the rubric for submitting programming assignments through Blackboard each week prior to submission.
The lecture tutorials provided below are linked directly to the online version of The Worst Stats Text eveR, the text book used for the class. The links below will not open in a new tab unless you tell them to. PDF and eBook formats are also available (free).
Chapter 1: Introduction to programming in R
Chapter 2: Data Structures
Chapter 3: Working with data
Chapter 4: Plotting and graphics
Data manipulation and visualization
Chapter 5: Sampling distributions
Chapter 6: Intro to inferential
Chapter 7: Linear models
Chapter 8: General linear models
Chapter 9: Assumptions of linear models
Chapter 10: Communicating effects
No homework for this unit.
Chapter 12: Introduction to GLM and Logistic regression
Chapter 17: Bayesian logistic regression regression
Chapter 13: Count models
Chapter 18: Bayesian count models
Chapter 14: Linear mixed models
Chapter 15: Generalized linear mixed models
Chapter 19: Bayesian hierarchical linear models
Chapter 20: Bayesian hierarchical GLMs
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