Home STAT 242
Schedule Labs Homework Resources Quizzes/Exams Project

Tentative Schedule

I will fill in more detail and provide links to lecture notes and labs as the semester progresses. Items listed under future dates are tentative and subject to change. Check back often!


Week Date In Class After Class
1 Wed., Jan. 22
  • Overview: course and syllabus
  • Introductory activity/lab
  • Fill out this poll to help determine office hours.
  • Read Chapter 1: Statistical Sleuth 3rd Edition
Fri., Jan. 24
  • Finish R lab on permutation tests
  • Review material from Chapter 1: pdf
  • Read Sections 2.1, 2.2, and 2.5: Statistical Sleuth 3rd Edition
  • Do optional Homework 0; I won't check this, but you should do
    it if you are less comfortable with R
  • Start on Homework 1; due Fri., Jan. 31
2 Mon., Jan. 27
  • Quiz on material from Chapter 1
  • Review of t-based tests and confidence intervals
    • Concepts overview: pdf
    • Examples: pdf
  • Work on Homework 1; due Fri., Jan. 31
  • Read Sections 2.3, 5.2, 6.2: Statistical Sleuth 3rd Edition
Wed., Jan. 29
  • Quiz on material from Chapter 1
  • Lab about t-based inference
  • Work on Homework 1; due Fri., Jan. 31
  • Read Sections 2.3, 5.2, 6.2: Statistical Sleuth 3rd Edition
Fri., Jan. 31
  • Overview of degrees of freedom: pdf
  • ANOVA: pdf
  • Work on Homework 2; due Fri., Feb. 7
  • Read Sections 2.3, 5.2, 6.2: Statistical Sleuth 3rd Edition
  • Review quizzes on material from Chapter 2
3 Mon., Feb. 3
  • Quiz on material from Chapter 2
  • Discuss take-away message from degrees of freedom notes
  • Continue with ANOVA handout from Friday
  • Work on Homework 2; due Fri., Feb. 7
  • Read Sections 2.3, 5.2, 6.2: Statistical Sleuth 3rd Edition
  • Review quizzes on material from Chapter 1 and Chapter 2
Wed., Feb. 5
  • Quiz on material from Chapter 1 or Chapter 2
  • Compile solutions to Lab 2
  • Work on Homework 2; due Fri., Feb. 7
  • Read Sections 2.3, 5.2, 6.2: Statistical Sleuth 3rd Edition
Fri., Feb. 7
  • Concepts behind t-based inference and F tests for ANOVA: pdf
  • R code for F tests for ANOVA: pdf
  • Review all available quizzes
  • Read Sections 5.3-5.4: Statistical Sleuth 3rd Edition
  • Start Homework 3; due Fri., Feb. 14
4 Mon., Feb. 10
  • Quiz on Sections 5.2 and 6.2
  • More on F tests for ANOVA models.
    • p-values for nested models: pdf
  • Lab 3
  • Work on Homework 3; due Fri., Feb. 14
  • Read Sections 6.3, 6.4.3, and the paragraph headed "Bonferroni" in 6.4.4.
  • Review all available quizzes
Wed., Feb. 12
  • Quiz on any material covered thus far
  • Discussion of Lab 3 and relationship between regression coefficients and means from ANOVA
  • Multiple comparisons concepts: pdf
  • Work on Homework 3; due Fri., Feb. 14
  • Read Sections 6.3, 6.4.3, and the paragraph headed "Bonferroni" in 6.4.4.
Fri., Feb. 14
  • Multiple comparisons R: pdf
  • Lab 4
  • Start Homework 4; due Fri., Feb. 21
  • Review all available quizzes
5 Mon., Feb. 17
  • Quiz on Sections 5.3 and 5.4
  • Conditions for t and F bassed inference with the ANOVA model: pdf
  • Work on Homework 4; due Fri., Feb. 21
  • Review all available quizzes
Wed., Feb. 19
  • Quiz on Sections 6.3 and 6.4
  • Transformations for ANOVA models:
    • Concepts: pdf
    • Examples with R code: pdf
    • Lab 5 (time permitting)
  • Work on Homework 4; due Fri., Feb. 21
  • Review all available quizzes
Fri., Feb. 21
  • Work on Lab 5
  • Review quizzes on conditions for ANOVA
  • Start Homework 5; due Fri., Feb. 28
  • Review all available quizzes
6 Mon., Feb. 24
  • Quiz on Section 5.5 and Chapter 3
  • Simple linear regression
    • Concepts: pdf
    • R code and examples: pdf
  • Work on Homework 5; due Fri., Feb. 28
  • Review all quizzes
Wed., Feb. 26
  • Quiz on any material through Section 5.5 and Chapter 3
  • Confidence intervals for the mean for simple linear regression:
    • Concepts: pdf
  • Work on Homework 5; due Fri., Feb. 28
Fri., Feb. 28
  • Confidence intervals for the mean for simple linear regression:
    • R code and examples: pdf
    • Lab 6
  • Start Homework 6; due Fri., March 6
  • Review all posted quizzes
7 Mon., March 2
  • Quiz on Chapter 7
  • Residuals and prediction intervals for simple linear regression: pdf
  • Work on Homework 6; due Fri., March 6
  • Review all posted quizzes
Wed., March 4
  • Quiz on any material through Chapter 7
  • Conditions and transformations for simple linear regression: pdf
  • Work on Homework 6; due Fri., March 6
Fri., March 6
  • Miscellaneous topics from simple linear regression: pdf
  • Study for midterm exam
8 Mon., March 9
  • No quiz - exam on Wednesday
  • Lab 7
  • Study for midterm exam
Wed., March 11
  • Midterm
Fri., March 13
  • Midterm
9 3/16-3/20 No Classes - Midsemester Break
10 3/23-3/27 No Classes - Midsemester Break
11 Mon., March 30
  • Quiz on any material studied prior to midterm (complete on Gradescope by 11:59 PM EDT, 3/30)
  • Watch 3/30 lectures on regression with both quantitative and categorical predictors (posted to Moodle)
  • Regression with both quantitative and categorical predictors: pdf; annotated pdf
  • Work on Homework 7; due Fri., April 3
  • Review all posted quizzes
Wed., April 1
  • Quiz on any material studied prior to midterm (complete on Gradescope by 11:59 PM EDT, 4/1)
  • Watch 4/1 lectures on regression with both quantitative and categorical predictors (posted to Moodle)
  • Regression with both quantitative and categorical predictors: pdf; annotated pdf
  • Work on Homework 7; due Fri., April 3
  • Review all posted quizzes
Fri., April 3
  • Lab 8 (to be submitted to Gradescope)
  • Study for quiz on Chapter 9-10 (Multiple Lines)
  • Start on Homework 8; due Wed., April 15
12 Mon., April 6
  • Quiz on material from Ch. 9-10 (complete on Gradescope by 11:59 PM EDT, 4/6)
  • Watch 4/6 lectures on Moodle (Diagnostics; Multiple regression)
  • Diagnostics for outliers and high leverage observations: pdf; annotated pdf (please check for written explanation of NaN)
  • Multiple regression: pdf; annotated pdf
  • Work on worksheet on multiple regression and diagnostics: pdf; solutions
  • Review all posted quizzes
  • Work on Homework 8; due Wed., April 15
Wed., April 8
  • Quiz on any material covered thus far (complete on Gradescope by 11:59 PM EDT, 4/8)
  • Catch up day
    • Catch up on work from last week and Monday
    • Review/ask questions
  • Work on Homework 8; due Wed., April 15
Fri., April 10
  • Watch 4/10 lectures (Moodle)
  • All subsets regression and added variable plots: pdf; annotated pdf
  • Review all quiz materials
  • Work on Homework 8; due Wed., April 15
13 Mon., April 13
  • Quiz on material from Ch. 9-12 (complete on Gradescope by 11:59 PM EDT, 4/13)
  • Watch 4/13 lecture
  • Multiple regression - multicollinearity: pdf; annotated pdf
  • Work on worksheet on variable selection: pdf; solutions: pdf
  • Work on Homework 8; due Wed., April 15
  • Work on mini-project; first deadline Mon., April 20 (submit to Google drive)
Wed., April 15
  • Work on Lab 9 (Variable Selection); due Fri., April 17
  • Work on mini-project; first deadline Mon., April 20 (submit to Google drive)
  • Turn in Homework 8 by 11:59 PM EDT
Fri., April 17
  • Work on Lab 9 (Variable Selection); due Fri., April 17
  • Turn in Lab 9 by 11:59 PM EDT
  • Work on mini project; due 11:59 PM EDT, Fri., April 24
14 Mon., April 20
  • Work on mini project
  • Catch up on any work since Spring Break (email if you need assignments reopened on Gradescope)
  • Submit mini project assignment (first checkpoint) to Google drive for feedback
Wed., April 22
  • Work on mini project
  • Catch up on any work since Spring Break (email if you need assignments reopened on Gradescope)
Fri., April 24
  • Be sure to turn in your mini-project assignments to Gradescope
  • Begin reviewing for the final exam (comprehensive)
15 Mon., April 27
  • Review for final exam (comprehensive)
  • Final exam opens Friday, May 1 on Gradescope; due Tuesday, May 5 at 12 NOON (college deadline - no extensions from instructor)