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Last updated: Mon Sep 8 2025, 10:59

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

Solutions

Exam #1 Content

Week 1 (Intro)

Date Lecture Lab Reading
- - -
- - -
Fri 8/29 Introduction to Statistics - Packages

Assignments and Deadlines:

  1. Download R
  2. Download R Studio

Week 2 (Summaries)

Date Lecture Lab Reading
Monday 9/1 Labor Day - -
Wed 9/3 Introduction to R Intro to R -
Fri 9/5 Visual Summaries ggplot -

Assignments and Deadlines:

  • Homework 1, due Friday 9/12 at 10pm
  • Intro R lab due Friday 9/5 at 10pm

Week 3 (Numerical Summaries)

Date Lecture Lab Reading
Mon 9/8 Numerical Summaries ggplot -
Wed 9/10 Variance ggplot2 -
Fri 9/12 Tables 1 tables -

Assignments and Deadlines:

  • Homework 2 due Friday, 9/19 at 10pm
  • ggplot and ggplot2 labs due Friday 9/12 at 10pm

Week 4 (Tables and Odds)

Date Lecture Lab Reading
Mon 9/15 [Tables 2] tables -
Wed 9/17 [Odds] odds -
Fri 9/19 Z Scores dplyr -

Assignments and Deadlines:

Week 5 (Regression)

Date Lecture Lab Reading
Mon 9/22 Regression - -
Wed 9/24 Regression + Categorical - -
Fri 9/26 Project Day - -

Assignments and Deadlines:

Exam 2 Content

Week 6 (Study Design)

Date Lecture Lab Reading
Mon 9/29 Review - -
Wed 10/1 Exam 1 - -
Fri 10/3 Study Design - -

Assignments and Deadlines: