TLR Guide
Stat342

Stat 302  Analysis of Experimental and Observational DataAt Simon Fraser University  Burnaby Campus JanuaryApril 2016 SFU Website Syllabus See Wk 11 notes for more details and some overriding information. Usual Office Hours: Tuesday 1:002:00, Thursday 4:005:00. Both in SSC K 10564. Assignments 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 FDistribution distributions, Hypothesis Testing, Confidence Intervals Week 2, Hour 1 , Correlation vs association, Pearson's R, nonlinearity, Spearman rank correlation, Week 2, Hour 2 , Hypothesis testing for correlation, (Pearson) Correlation and regression. Week 2, Hour 3 , rsquared, 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 , Oneway ANOVA example, Twoway ANOVA Practice Midterm 1 , and with answers and notes Midterm 1 Week 6: Reading Week Week 7, Hour 1 , ANOVA, Regression and Rsquared. 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, QuantileQuantile Plots. Week 10, Hour 1 , ShapiroWilks Test, Cross Validation Week 10, Hour 2 , Missing Data Week 10, Hour 3 , Imputation Practice Midterm 2 , and with answers and notes Midterm 2 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. Readings: Rubin on Causality Nicholls on Significance Testing Johnson and Omland on Model Selection Datasets:
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