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Last updated: Mon May 11 2026, 15:43

Syllabus

Welcome to the course website for STAT 209, Introduction to Applied Statistics. To begin, you can find the course syllabus linked below:

You can locate course content by scrolling, or by using the navigation bar in the upper left.

Please note: material will not be posted until we’ve reached that point in the course.

Exam #1 Content

Date Lecture Lab Reading
Wed 1/21 Syllabus and Introduction Lab IMS Sections 1.2.1-1.2.3 before Monday
Fri 1/23 Intro to R Intro R Lab -

Assignments and Deadlines

  1. Install R (https://cran.r-project.org/) before Friday.
  2. Install RStudio (https://posit.co/download/rstudio-desktop/) before Friday.

Week 2 (Quantiative Variables)

Date Lecture Lab Reading
Mon 1/26 - Intro R Lab cont’d -
Wed 1/28 Quantitative Variables – Part 1 Quant Var Lab IMS Chapters 5.2-5.5 (pg. 74-82)
Fri 1/30 Quantitative Variables – Part 2 Quant Var Lab -

Week 3 (Categorical Variables)

Date Lecture Lab Reading
Mon 2/02 Categorical Variables Cat Var Lab [Template] -
Wed 2/04 Tables (for Categorical Information) Tables Lab -
Fri 2/05 [GGplot2] ggplot2 Lab -

Week 4

Date Lecture Lab Reading
Mon 2/09 - ggplot2 Lab cont’d -
Wed 2/11 Probability 1 – Basics Probability Worksheet 1 OpenIntro Sections (see below)
Fri 2/13 Probability 2 – Independence Probability Worksheet 2 OpenIntro Sections (see below)

Week 5

Date Lecture Lab Reading
Mon 2/16 Probability 3 – Odds/Risk Probability Worksheet 3 -
Wed 2/18 Study Design – Sampling Methods Study Design Lab -
Fri 2/20 No Class - -

Week 6

Date Lecture Lab Reading
Mon 2/23 Homework and Lab Workday - -
Wed 2/25 Study Design 2 Study Design 2 Lab -
Fri 2/27 Exam 1 - -

Week 7 (Statistical Framework)

Date Lecture Lab Reading
Mon 3/02 Random Variables - -
Wed 3/04 Normal Distributions Normal Probability R Guide and Normal Prob Practice -
Fri 3/06 Sampling Distributions Sampling Distribution Lab -

Week 10* (Confidence Intervals)

Date Lecture Lab Reading
Mon 3/23 Confidence Intervals Pt. 1 (Means) - -
Wed 3/25 - - -
Fri 3/27 CI Review CI Lab 1 -

Week 11 (Confidence Intervals Cont’d)

Date Lecture Lab Reading
Mon 3/30 Confidence Intervals Pt. 2 (t-Distribution) CI Lab 1 cont’d -
Wed 4/01 Project Day - -
Fri 4/03 Confidence Intervals Pt. 3 (Diff in Means) CI Lab 2 IMS 19.2.1-19.2.4 (pg. 325-332)

Week 12 (Confidence Intervals)

Date Lecture Lab Reading
Mon 4/06 Confidence Intervals Pt. 4 (Proportions) CI Lab 3 -
Wed 4/08 More on CI Conditions - -
Fri 4/10 Hypothesis Testing Intro - IMS Chapter 11.3 (pg. 188 - 189, DO NOT READ pg.190)

Week 13 (Hypothesis Testing + Exam)

Date Lecture Lab Reading
Mon 4/13 HT Part 2 Testing Lab 1 -
Wed 4/15 HT Part 3 – Test Statistics Testing Lab 2 -
Fri 4/17 In-class Exam - -

Week 14 (Hypothesis Testing + Dplyr)

Date Lecture Lab Reading
Mon 4/20 - Dplyr -
Wed 4/23 HT Part 4 – Other Scenarios Testing Lab 3 (Worksheet) -
Fri 4/25 HT Part 5 Testing Lab 4 (Worksheet) -

Week 15 (Scatterplots, Correlation, Regression)

Date Lecture Lab Reading
Mon 4/27 Scatterplots and Correlation Corr and Tests Lab -
Wed 4/29 ‘Simple’ Linear Regression Regression Lab 1 -
Fri 5/01 SLR2 – Categorical Predictors Regression Lab 2 -

Week 16 (Multiple Regression + ANOVA)

Date Lecture Lab Reading
Mon 5/04 Multiple Regression MLR Lab [IMS Chapter 8.1-8.3 (pg. 136-143)]
Wed 5/06 Regression Errors MLR Lab cont’d To Explain or To Predict
Fri 5/08 ANOVA MLR Worksheet -

Final Exam Info: Final exam will be on Wednesday 5/13 at 9am in the normal class room. The exam will not be 3 hours in length. Review material will be posted later this week.

Reading Assignments

  • IMS Sections 1.2.1-1.2.3 before Monday 1/26.
  • IMS Chapters 5.2-5.5 (pg. 74-82) before Monday 2/02
  • OpenIntro Chapter 3.1 before Friday 2/13
  • IMS Chapters 19.2.1-19.2.4 (pg. 325-332)

Lab Assignments

Intro R Lab due on Gradescope Wednesday 1/28 at 10pm. Gradescope info will be given in Class on Monday.

Quant Var Lab due Wednesday 2/04 at 10pm. (Solution)

Cat Var Lab due Friday 2/06 at 10pm. (Solution)

Tables Lab due Sunday 2/08 at 10pm. (Solution)

ggplot2 Lab due Wednesday 2/11 at 10pm.

Probability Worksheets checked for credit at start of class on Wednesday 2/18. (Solution)

Normal Prob Practice uploaded to Gradescope by Thursday 3/05 at 10pm. (Solution)

Sampling Distribution Lab due Sunday 3/08 at 10pm. (Solution)

CI Lab 1 will have more added to it on Monday 3/30 and be due Wed 4/01 at 10pm. (Solution)

CI Lab 2 due Sunday 4/05 at 10pm. (Solution)

CI Lab 3 due Thursday 4/09 at 10pm. (Solution)

Testing Lab 1 due Sunday 4/19 at 10pm. Solutions

Testing Lab 2 due Monday 4/20 at 10pm. Solutions

Dplyr Lab due Wednesday 4/22 at 10pm.

Testing Lab 3 (Worksheet) due Friday 4/24 at 10pm. Solutions

Testing Lab 4 (Worksheet)

Corr and Tests Lab Solutions

Regression Lab 1 and Wednesday 5/06 at 10pm. (adjusted gradescope submission date) Solutions

Regression Lab 2 due Wednesday 5/06 at 10pm. (adjusted gradescope submission date) Solutions

MLR Lab Solutions

Homework Assignments

Homework 1 due Friday 2/20 at 10pm.

Homework 2 due Friday 2/27 at 10pm.

Homework 3 due Friday 3/06 at 10pm.** See class announcement email about starting this early.

Exam 1 Correction due Friday 3/27 at 10pm. Gradescope submission will be posted.

Homework 4 due Wednesday 4/15 at 10pm. Primarily focused on confidence intervals.

Homework 5 due Sunday 4/19 at 10pm. Primarily focused on confidence intervals. I recommend completing this before the exam – extremely beneficial.

Homework 6 due Wednesday 5/06 at 10pm.

Homework 7 due Sunday 5/10 at 10pm.

Exam Info

Exam 1 will be on Feb 2/27 during normal class time within the classroom. Note: There may be a few questions asking about random assignment or experiment vocabulary terms in the practice documents – these topics will not be on the exam due to the missed class on 2/20.

[Practice Exam 1]

[Exam 1 Topics List]

Exam 2 will be on Friday 4/17 during normal class time within the regular classroom.

[Exam 2 Topics List]

[Exam 2 Short Answer]

[Exam 2 CI Formulas]

Exam 3

Exam 3 Short Answer Practice

Exam 3 Topics List

Exam 3 Practice 1 [A snippet from a previous review related to regression concepts]

Exam 3 Practice 2 [A snippet from a previous review related to regression concepts]

Exam 3 Formula Sheet Regression slope/intercept coefficient, correlation, or \(R^2\) calculations from data are not necessary.

Note: No solutions will be posted for Testing Worksheet 4 or HW6 or HW7. You may meet with me during office hours to discuss these assignments. Regression Lab 2, MLR Lab solutions, and MLR worksheet solutions will be posted Saturday night.