\(~\) Last updated: Mon Sep 14 2026, 07:53

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
- - -
- - -
Fri 8/28 Introduction to Statistics Packages -

Assignments and Deadlines:

  1. Get R Software:

Week 2 (Summaries)

Date Lecture Lab Reading
Mon 8/31 Walkthrough R Introduction to R -
Wed 9/2 Visual Summaries ggplot -
Friday 9/4 Numerical Summaries ggplot -

Assignments and Deadlines:

  1. Homework 1 due Monday, 9/7 at 10pm
  2. Lab 1 (Intro to R) due Wednesday, 9/2 at 10pm
  3. ggplot lab due Wednesday, 9/9 at 10pm
  4. Homework 2 due Friday, 9/11 at 10pm

Week 3 (Tables and Odds)

Date Lecture Lab Reading
Mon 9/7 Labor Day 👷 ggplot2 (bonus lab) -
Wed 9/9 Tables Tables -
Fri 9/11 Tables 2 / Probabilities Table Funsheet -

Assignments and Deadlines:

  1. Homework 1 due Monday, 9/7 at 10pm
  2. ggplot lab due Wednesday, 9/9 at 10pm
  3. Homework 2 due Wednesday, 9/16 at 10pm
  4. Homework 3 due Wednesday, 9/23 at 10pm

Week 4 (Linear Associations)

Date Lecture Lab
Mon 9/14 Odds Ratios Odds Funsheet
Wed 9/16 Correlation and Z dplyr
Fri 9/18 Simple Linear Regression dplyr

Assignments and Deadlines:

  1. Homework 2 due Wednesday, 9/16 at 10pm
  2. Homework 3 due Wednesday, 9/23 at 10pm