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Last updated: Wed Jan 21 2026, 04:43

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

Week 1 (Intro)

Date Lecture Lab Reading
Fri 8/29 Syllabus and Introduction (update pending) Lab IMS Sections 1.2.1-1.2.3

Assignments and Deadlines

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

Week 2 (Intro to R & Data Visualization)

Date Lecture Lab Reading
Mon 9/01 Labor Day (no class) - -
Wed 9/03 Intro to R Intro R Lab -
Fri 9/05 - Intro R Lab cont’d IMS 5.2-5.5 (pgs. 74-82)

Assignments and Deadlines

  1. Intro R Lab due Sunday at 10pm via Gradescope (assign all pages to Question 1). Gradescope assingment will be posted on Friday.
  2. Read IMS 5.2-5.5 (pgs. 74-82) before Monday’s class.

Week 3 (Data Visualization and Summaries)

Date Lecture Lab Reading
Mon 9/08 Quantitative Variables – 1 Quant Var Lab and Template -
Wed 9/10 Quantitative Variables – 2 Quant Var Lab cont’d -
Fri 9/12 Categorical Variables Cat Var Lab (Template) -

Assignments and Deadlines

  1. Quant Var Lab due Friday 9/12 at 10pm. Make sure to assign pages to the question.
  2. Homework 1 (Template) due Friday 9/19 at 10pm.
  3. Cat Var Lab due Monday 9/15 at 10pm.

Week 4 (Tables and ggplot2)

Date Lecture Lab Reading
Mon 9/15 Tables Tables Lab -
Wed 9/17 [ggplot2 Overview] ggplot2 lab -
Fri 9/19 [Graphics Accessibility] ggplot2 lab cont’d -

Assignments and Deadlines

  1. Tables lab due Wednesday 9/17 at 10pm.
  2. ggplot2 lab due Monday 9/22 at 10pm.
  3. Homework 2 due Friday 9/26 at 10pm.

Week 5 (Probability)

Date Lecture Lab Reading
Mon 9/22 Study Design Study Design Lab -
Wed 9/24 Probability 1 – Basics Probability Worksheet 1 OpenIntro Sections TBA
Fri 9/26 Probability 2 – Independence Probability Worksheet 2 OpenIntro Sections TBA

Deadlines and Due Dates:

  1. Study Design Lab due Wednesday 9/24 at 10pm.
  2. Homework 3 due Friday 10/03 at 10pm. This is due after the Exam, but please finish it beforehand. It will be extremely good practice.

Week 6 (Probability + Exam 1)

Date Lecture Lab Reading
Mon 9/29 Probability 3 – Odds + Risk Probability Worksheet 3 -
Wed 10/01 Random Variables Review Time -
Fri 10/03 Exam 1 - -

Exam #2 Content

Week 7 (Normal and Sampling Distributions)

Date Lecture Lab Reading
Mon 10/06 Normal Distributions Normal Probability R Guide and Normal Prob Practice -
Wed 10/08 Sampling Distributions Sampling Distribution Lab -
Fri 10/10 Confidence Interval 1 (Mean) Confidence Interval Lab 1 -

Assignments and Due Dates:

  1. Normal Distribution Lab due Wednesday 10/08 at 10pm.
  2. Sampling Distribution Lab due Friday 10/10 at 10pm.

Week 8 (Confidence Intervals)

Date Lecture Lab Reading
Mon 10/13 Confidence Interval 2 – t-Distribution Confidence Interval Lab 1 cont’d -
Wed 10/15 Confidence Interval 3 – Difference in Means Confidence Interval Lab 1 cont’d -
Fri 10/17 Confidence Interval 4 – Proportions Confidence Interval Lab 2 -

Assignments and Due Dates:

  1. Confidence Intervl Lab 1 due Friday 10/17 at 10pm.
  2. Homework 4 due Friday 10/31 at 10pm. More will be added to this over the course of Week 8. Start early!
  3. Exam 1 Correction due Monday 10/27 at 10pm. Gradescope submission will be posted.
  4. Confidence Interval Lab 2 due Monday 10/27 at 10pm.

Week 9 (dplyr + Bootstrapping + Hypotheses)

Date Lecture Lab Reading
Mon 10/27 - dplyr Lab -
Wed 10/29 Bootstrapping Bootstrapping Lab -
Fri 10/31 Hypothesis Testing Intro Free Work Period -

Assignments and Due Dates

  1. dplyr Lab due Wednesday 10/29 at 10pm.
  2. Bootstrapping Lab due Sunday 11/02 at 10pm.
  3. Homework 5 due Friday 11/07 at 10pm.
  4. Feedback Assignment due Friday 11/07 at 10pm. See details for grading. Completion \(\rightarrow\) extra token.
  5. Exam 2 will be on Friday Nov. 14 during scheduled class time.

Week 10 (Hypothesis Testing)

Date Lecture Lab Reading
Mon 11/03 Hypothesis Testing 2 HT Lab 1 -
Wed 11/05 Hypothesis Testing 3 HT Lab 2 -
Fri 11/07 HT 4 – More Types HT Lab 3 (Worksheet) -

Deadlines and Due Dates:

  1. Homework 5 due Friday 11/07 at 10pm.
  2. Feedback Assignment due Friday 11/07 at 10pm. See details for grading. Completion \(\rightarrow\) extra token.
  3. HT Lab 1 due Friday 11/07 at 10pm.
  4. HT Lab 2 due Sunday 11/09 at 10pm.
  5. See Final Project info posted below.
  6. Exam 2 on Friday 11/14 in class.
  7. HT Lab 3 (Worksheet) will function as HW6 due Friday 11/14 at 10pm. I suggest completing this before the exam. We will cover Q3 and Q4 in class Monday 11/10 as time permits.

Week 11 (Hypothesis Testing + Exam)

Date Lecture Lab Reading
Mon 11/10 Hypothesis Testing 5 HT Lab 4 (Worksheet) ASA P-value Statment
Wed 11/12 Review - -
Fri 11/14 Exam - -

Assignments and Due Dates

  1. Continue to monitor project due dates.
  2. HT Lab 3 (Worksheet) will function as HW6 due Friday 11/14 at 10pm. I suggest completing this before the exam. We will cover Q3 and Q4 in class Monday 11/10 as time permits.
  3. HT Lab 4 (Worksheet) due Friday 11/10 at 10pm. DO BEFORE EXAM.
  4. In-class reading quiz over ASA P-value Statement document on Monday 11/17.
  5. Exam 2 on Friday 11/14. Review materials will be posted Tuesday morning.

Exam #3 Content

Week 12 (Correlation and Regression)

Date Lecture Lab Reading
Mon 11/17 More on Standard Deviations SD Lab -
Wed 11/19 Correlation Correlation and Regression Lab -
Fri 11/21 Simple Linear Regression Correlation and Regression Lab cont’d -

Assignments and Due Dates

  1. SD Lab due Wednesday 11/19 at 10pm.
  2. Correlation and Regression Lab due Sunday 11/23 at 10pm. More will be added to this for Friday’s class.
  3. Exam 3 Heads up: 2-5pm Tuesday 12/16. Dictated by the college based on in-class meet time.
  4. Project dates revised.

Week 13 (More on Regression)

Date Lecture Lab Reading
Mon 11/24 Regression – Categorical Predictors Regression Lab 2 -
Wed 11/19 Multiple Linear Regression 1 MLR Lab
Fri 11/21 No class - -

Assignments and Due Dates

  1. Start collecting and analyzing data for the exploratory analysis.
  2. Regression Lab 2 due Monday 12/01 at 10pm.
  3. A regression homework and reading assignment will be posted early next week.
  4. MLR Lab due date TBD.
  5. Homework 7 due Friday 12/12 at 10pm.

Week 14 (ANOVA)

Date Lecture Lab Reading
Mon 12/01 No Class (Weather) - -
Wed 12/03 ANOVA 1 ANOVA Lab -
Fri 12/05 ANOVA 2 ANOVA Lab cont’d To Explain or To Predict

Assignments and Due Dates

  1. MLR Lab due Friday 12/05 at 10pm.
  2. Exploratory Analysis for project due Friday 12/05 at 10pm.
  3. ANOVA Lab due Monday 12/08 at 10pm.
  4. Exam 2 Corrections due Wednesday 12/10 at 10pm. A gradescope submission will be posted.
  5. Homework 7 posted. Due Friday 12/12 at 10pm. Start Early!
  6. Reading assignment 2 posted. In-class quiz will be administered at the start of class on Friday 12/12.

Week 15 (ANOVA + Regression)

Date Lecture Lab Reading
Mon 12/08 ANOVA & Regression Review/Work Time -
Wed 12/10 Regression Residuals Residuals Lab -
Fri 12/12 BONUS: AI and ML - Reading Quiz

Assignments and Due Dates

  1. Exam 2 Corrections due Wednesday 12/10 at 10pm. A gradescope submission will be posted.
  2. Homework 7 posted. Due Friday 12/12 at 10pm. Start Early!
  3. Reading assignment 2 posted. In-class quiz will be administered at the start of class on Friday 12/12.

Project Information

See project link here for all of the information. At my disgression I may adjust due dates back a bit to allow for more time.

  1. Group assignments due Monday 11/10 at 10pm via email.
  2. Project Proposal due Sunday 11/16 at 10pm.
  3. Exploratory analysis due Friday 12/05 at 10pm (revised from 11/28)
  4. Final project write-up due Friday 12/19 at 5pm (revised from 12/14)

Bonus: Example of a final write-up courtesy of Prof. Nolte. You do not need to follow this exact template (please don’t!)

Exam 2 Materials

The best thing you can do to prepare for the exam is to go through the confidence interval and hypothesis test labs + homeworks. Extra material will be posted here early in Week 11.

Exam 2 Topics Outline

Exam 2 Short Answer Practice

Exam 2 Practice

Exam 2 Practice Extra

Exam 2 Formula Sheet All of this will appear as a page at the end of the exam. I may have to format it slightly differently to fit.

Exam 3 Materials

The best prep you will have for this exam is going through the regression and ANOVA labs + HW7 and spending time to fully understand all parts. Most of the questions will be structured in ways similar to the labs. HW7 solutions will be posted on Saturday morning (after it is due).

Below is some extra material you may find helpful. There are not extensive formulas for this exam, only those related to ANOVA will be needed. Linear regression concepts will be tested, but formulas for slopes/intercepts are unnecessary.

Exam 3 Topics List

Exam 3 Short Answer Practice

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

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

Exam 3 ANOVA Formulas

Exam 3 ANOVA Practice reworked worksheet from an unfortunately cancelled guest-lecture. Unattributed for guest anonymity.