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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

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



Readings:

Rubin on Causality
Nicholls on Significance Testing

Datasets:

• CSV: Assignment 1 - Countries , real
• CSV: Assignment 1 - NHL Teams , real
• CSV: Assignment 1 - Iris Setosa , real
• CSV: Assignment 1 - Spending habits , made up
• CSV: Assignment 2 - Chick Weights , real
• CSV: Assignment 2 - N,P,K , real
• CSV: Assignment 2 - Tooth Growth , real
• CSV: Assignment 2 - Viral Load , made up
• txt: Lecture - Bearded Dragons , made up
• CSV: Lecture - Farms , made up
• CSV: Lecture - Heating Bills , made up
• CSV: Lecture - Silicon Wafers , made up
• CSV: Lecture - Warp Breaks , real

Secondary Resources:

• Open Learning Initiative Classes Look in Statistics --> Statistical Reasoning
• The Joy of Stats by Hans Rosling.
• Khan Academy Stats , also here .
• UC Berekeley Webcast Lectures .
• TED Talks should be a part of every higher education.