STAT 3301: Regression and Statistical Computing
Instructor. Aaron J. Molstad (amolstad@umn.edu)
Lecture. Monday, Wednesday, Friday at 9:05 - 9:55AM in Tate Hall 110
Office hours. Monday at 10:10 - 11:10AM in Ford Hall 384 and [Zoom]
Wednesday 1:30 - 2:30PM in Ford Hall 384 and [Zoom]
Teaching assistant. Chen-Wei Hua (hua00076@umn.edu)
TA Office hours. Tuesday at 10:30 - 11:30AM in Ford Hall 495 and [Zoom]
Thursday at 10:30 - 11:30AM in Ford Hall 495 and [Zoom]
Syllabus. [pdf][docx]
Discussion. Tuesday or Thursday at 9:05 - 9:55AM in Ford Hall 115
Download R. [CRAN]
Download RStudio. [Rstudio]
Code formatting guidelines. [Google style sheet]
R basics. [pdf]
Note that you must be logged into your UMN Canvas account to access course materials.
| Lecture | Topics | |||
| 1 (1/21) | Syllabus and models [docx][pdf][R] | |||
| 2 (1/25) | Random variables and their distributions [docx][slides][R] | |||
| 3 (1/27) | Expected value and variance [docx][slides][R] | |||
| 4 (1/30) | Named distributions [docx][slides] | |||
| 5 (2/2) | Estimators [slides] | |||
| 6 (2/4) | Simulation studies [slides][docx] |
Complete notes 1-5 [pdf][docx][rmd]
Homework 1 (Due Monday, February 9th at 4:59PM) [solution pdf][solution docx][pdf][docx]
| 7 (2/6) | Inversion method [docx][pdf] | |||
| 8 (2/9) | One-sample model [pdf] | |||
| 9 (2/11) | Confidence intervals [pdf][docx] | |||
| 10 (2/16) | Hypothesis testing [pdf][docx] | |||
| 11 (2/18) | Power [pdf][docx] |
Complete notes 6-8 [pdf][docx][rmd]
Complete notes 9-12 [pdf][docx][rmd]
Homework 2 (Due Thursday, February 19th at 4:59PM) [submission][pdf][docx]
| 12 (2/20) | Confidence intervals for proportions [pdf][docx] | |||
| 13 (2/23) | Introduction to regression [pdf][docx] |
Homework 3 (Due Friday, February 27th at 4:59PM) [submission][pdf][docx][Timberwolves2025.csv]
Exam 1 (Monday, March 2nd) [practice pdf][practice docx]