\(~\)

Welcome to the course website for Sta-209-04 (Applied Statistics). 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 that some material will not be posted until we’ve reached that point in the course.

Course Materials

Course meetings typically involve a short lecture followed by a lab activity. Unless otherwise mentioned, all assignments are due by 11:59pm (midnight) on their due date.

\(~\)

Exam #1 Content

Week 0/1 - Statistical Thinking and Simple Hypothesis Tests

Date Lecture Lab Resources
Fri 8/28 Statistical Thinking and Probability Lab 1 - A first hypothesis test
Mon 8/31 Hypothesis Testing (part 1: sampling) Finish/discuss Lab 1 Ch 2.1 - Sampling Principles from Intro to Modern Statistics
Wed 9/2 Lab 2 - Intro to R and one-sample categorical data R Basics from Modern Statistics with R
Fri 9/4 Lab 3 - More R and one-sample quantitative data

Assignments and Deadlines:

  • Lab 1 is due Monday 8/31
  • Labs 2 and 3 are due Wednesday 9/9
  • Homework 1 is due Friday 9/4 Tuesday 9/8

All assignments should be submitted via Canvas.

\(~\)

Week 2 - More Hypothesis Testing

Date Lecture Lab Resources
Mon 9/7 No classes - Labor Day
Wed 9/9 One-sample Z-tests Lab 4 - One-sample tests in R
Fri 9/11 One-sample T-tests Finish/discuss Lab 4
  • Homework 2 is due Monday 9/14
  • Labs 2 and 3 are due Wednesday 9/9
  • Lab 4 is due Friday 9/11

\(~\)

Exam Dates

Study materials (practice test, study guide, etc.) will be released approximately 1-week prior to each exam.

  • Exam 1 - Friday 10/2
  • Exam 2 - Friday 11/13
  • Exam 3 - Monday 12/7

\(~\)

Project

Information and deadlines for the course project will appear here. The project will not formally be introduced until after Exam 1.