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Last updated: Tue Jan 14 2025, 12:01

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
Mon 1/20 - - -
Wed 1/22 Introduction to R - -
Fri 1/24 Introduction to Statistics - -

Assignments and Deadlines:

  1. Download R
  2. Download R Studio
  3. (Windows only, maybe) Download Rtools44

Week 2 (Summaries)

Date Lecture Lab Reading
Mon 1/27 Visual Summaries - -
Wed 1/29 Numerical Summaries - -
Fri 1/31 Variance? - -

Assignments and Deadlines:

Week 3 (Tables and Odds)

Date Lecture Lab Reading
Mon 2/3 Tables - -
Wed 2/5 Odds - -
Fri 2/7 Z Scores and Correlation - -

Assignments and Deadlines:

Week 4 (Regression)

Date Lecture Lab Reading
Mon 2/10 Regression - -
Wed 2/12 Regression Categorical - -
Fri 2/14 Regression I think again maybe - -

Assignments and Deadlines:

Week 5 (Probability)

Date Lecture Lab Reading
Mon 2/17 Probability 1 (Intro) - -
Wed 2/19 Probability 2 (Conditional and Independence) - -
Fri 2/21 Probability 3 (Bayes) - -

Assignments and Deadlines:

Exam 2 Content

Week 6

Date Lecture Lab Reading
Mon 2/24 Review - -
Wed 2/26 Exam 1 - -
Fri 2/28 Study Design - -

Assignments and Deadlines: