Advanced Statistical Methods

Statistical Tables & Formulas

Pre-class Videos

Watching and taking notes on the pre-recorded class videos will be an ongoing assignment throughout the course, with info listed under homework.

ClassWork

You will be turning in classwork at the end of most classes. Some will be in hard copy on paper, others will be via online at tinyurl.com/stat3210-work. If you are excused from class ahead of class time, you will be allowed to submit your classwork by the end of the day at the above URL.

Classwork will usually be posted on MS Teams in the General channel under Files/ClassMaterials/ClassWork.

Overheads for class

The files below have most of the overheads from class. Many of them merely serve as a starting point for discussion in class. Thus, my notes are intentionally incomplete. Your pre-class notes will fill in some of these details.

I suggest that you print these out and bring them to class in order to facilitate note taking (NOTE: printing directly from the web browser may not work well with mathematical notation. It is better to print from a downloaded file).

Overheads from chapter 3
Overheads from chapter 4
Overheads from chapter 5
Overheads from chapter 6
Overheads from chapter 7 (ANOVA plus lack of fit testing)
Overheads from chapter 8 - part 1
Overheads from chapter 8 - part 2 (SLR matrix representation)
Overheads from chapter 9 - part 1
Overheads from chapter 9 - part 2 (MLR matrix representation)
Overheads from chapter 10
Overheads from chapter 11
Overheads from chapter 14
Overheads from chapter 17

R code for class

chapter 3 - Intro to R: some basic commands and functions
chapter 3 - part 1: T-tests and confidence intervals
chapter 3 - part 2: Central Moments & qqplots
chapter 3 - part 3: Missing values
chapter 5 - part 1: Simple Linear Regression (SLR) 1
chapter 5 - part 2: SLR 2 Confidence & Prediction Intervals
chapter 6 - part 1: Correlation coefficient (Pearson's product moment correlation)
chapter 7 - part 1: ANOVA table & Lack of Fit test
chapter 8 - part 1: Multiple Linear Regression (MLR)
chapter 8 - part 2: Matrix representation
chapter 9 - part 1: Inference for MLR
chapter 9 - part 1: Inference for MLR
chapter 9 - part 2: CIs & PIs for MLR
chapter 9 - part 3: MLR matrix representation
chapter 10 - part 1: Partial Correlations
chapter 11 - part 1: Confounding and Interaction
chapter 14 - part 1: Regression diagnostics
chapter 14 - part 2: VIF
chapter 14 - part 3: Cook's distances
chapter 17 - part 1: ANOVA
chapter 17 - part 2: ANOVA & multiple comparisons
chapter 17 - part 3: ANOVA assumptions & non-parametric tests