Stat 302 - Analysis of Experimental and Observational Data
At Simon Fraser University - Burnaby Campus January-April 2016
SFU Website Syllabus
See Wk 1-1 notes for more details and some overriding information.
Usual Office Hours: Tuesday 1:00-2:00, Thursday 4:00-5:00. Both in SSC K 10564.
Assignment 1 and the Assignment 1 Key
Assignment 2 and the Assignment 2 Key
Assignment 3 and the Assignment 3 Key
Filled Lecture Notes
Week 1, Hour 1 , Syllabus and Policies
Week 1, Hour 2 , Review: Samples and Populations, Descriptive and Inferential Statistics, Normal and T distributions
Week 1, Hour 3 , Review: Binomial and F-Distribution distributions, Hypothesis Testing, Confidence Intervals
Week 2, Hour 1 , Correlation vs association, Pearson's R, non-linearity, Spearman rank correlation,
Week 2, Hour 2 , Hypothesis testing for correlation, (Pearson) Correlation and regression.
Week 2, Hour 3 , r-squared, the coefficient of determination, The bivariate normal assumption, Diagnostic plots: Residuals and Cook's Distance
Week 3, Hour 1 , Examples using R: Basic functions
Week 3, Hour 2 , Examples using R: Regression
Week 3, Hour 3 , Confidence intervals for a given x, Prediction intervals for a given x, Causality
Week 4, Hour 1 , ANOVA review
Week 4, Hour 2 , Multiple testing and Tukey's HSD
Week 4, Hour 3 , One-way ANOVA example, Two-way ANOVA
Practice Midterm 1 , and with answers and notes
Week 6: Reading Week
Week 7, Hour 1 , ANOVA, Regression and R-squared.
Week 7, Hour 2 , Multiple regression: Colinearity, Perturbations, Correlation Matrix
Week 7, Hour 3 , Multiple regression: Polynomial terms. Variance Inflation Factors (VIFs)
Week 7, Hour 1 , Multiple regression: Polynomial terms again, Akaike Information Criterion (AIC).
Week 7, Hour 2 , Dummy Variables
Week 7, Hour 3 , Dummy Variables. The Stepwise model selection method.
Week 9, Hours 1 and 2 Guided examples. (Blank and Solved)
Week 9, Hour 3 , Stepwise, Model Selection, Quantile-Quantile Plots.
Week 10, Hour 1 , Shapiro-Wilks Test, Cross Validation
Week 10, Hour 2 , Missing Data
Week 10, Hour 3 , Imputation
Practice Midterm 2 , and with answers and notes
Week 12, Hour 1 , Multiple regression: Polynomial terms again, Akaike Information Criterion (AIC).
Week 12, Hour 2 , Dummy Variables
Week 12, Hour 3 , Dummy Variables. The Stepwise model selection method.
Rubin on Causality
Nicholls on Significance Testing
Johnson and Omland on Model Selection