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Current Classes:

Stat305

Stat342

Previous Classes:

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Stat302

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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.


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 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
Midterm 1


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
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:


Secondary Resources: