\(~\) Last updated: Fri Mar 6 2026, 09:31

Syllabus

Welcome to the course website for STA 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.

Course Materials

Exam #1 Content

Week 1 (Intro)

Date Lecture Lab Reading
- - -
Wed 1/21 Introduction to Statistics Packages -
Fri 1/23 Introduction to R Introduction to R Lab 1 Template

Assignments and Deadlines:

  1. Get R Software:
  2. Homework 1 due Friday, Jan 30 at 10pm

Week 2 (Summaries)

Date Lecture Lab Reading
Mon 1/26 Visual Summaries ggplot -
Wed 1/28 Numerical Summaries ggplot2 -
Fri 1/30 Variance ggplot2 -

Assignments and Deadlines:

  1. Homework 1 due Friday, Jan 30 at 10pm
  2. Homework 2 due Friday, Feb 6 at 10pm
  3. Both ggplot labs due Monday, Feb 2 at 10pm

Week 3 (Tables and Odds)

Date Lecture Lab Reading
Mon 2/2 Tables 1 Tables -
Wed 2/4 Tables 2 Table Funsheet -
Fri 2/6 Odds and Odds Ratio Odds Funsheet -

Assignments and Deadlines:

  1. Homework 2 due Saturday, Feb 7 at 10pm
  2. Homework 3 due Friday, Feb 13 at 10pm
  3. Table labs due Friday, Feb 6 at 10pm

Week 4 (Linear Associations)

Date Lecture Lab Reading
Mon 2/9 Correlation and Z dplyr
Wed 2/11 Simple Linear Regression
Fri 2/13 Regression + Categorical

Assignments and Deadlines:

  1. Homework 3 due Friday, Feb 13 at 10pm
  2. dplyr due Monday, Feb 16 at 10pm

Week 5 (Exam Week yay)

Date Lecture Lab Reading
Mon 2/16 😷
Wed 2/18 Exam 1 😎
Fri 2/20 🤠 Data Wranglin’ Template Data Wranglin’ PDF

Assignments and Deadlines

Exam #2 Content

Week 6 (Study Design and Sample)

Date Lecture Lab Reading
Mon 2/23 Study Design
Wed 2/25 Project Instructions Template
Fri 2/27 No Class

Assignments and Deadlines

Week 7 (Study Design and Sample)

Date Lecture Lab Reading
Mon 3/2 Sampling Distributions Fish 1 and Fish 2
Wed 3/4 Standard Normal
Fri 3/6 Intervals