\(~\)

Welcome to the course website for Sta-209 (Applied Statistics) Sections 01 and 03. 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

Many class meetings involve both lab and lectures. Partners will be assigned for most labs, which will will typically be due on Mondays. Homework will typically be due on Friday at midnight (with some exceptions surrounding exams).

\(~\)

Exam #1 Content

Week 1 - Data Basics and an Introduction to R

Date Lecture Lab Resources
Mon 1/20 No class (MLK Day)
Wed 1/22 Data Basics Lab 1 - Introduction to R IMS Ch 1, HOPR Ch 2
Fri 1/24 Univariate Summaries and Visualizations Lab 2 - Intro to ggplot and R Markdown

Assignments and Deadlines:

  • Labs 1 and 2 are due Monday 1/27 at 11:59pm
  • Homework 1 is due Friday 1/25 at 11:59pm

\(~\)

Week 2 - Multivariate Data Visualizations and Contingency Tables

Date Lecture Lab Resources
Mon 1/27 Lab 3 - Multivariate Visualizations
Wed 1/29 Contingency tables Lab 4 - Contingency Tables
Fri 1/31 No class (faculty retreat)

Assignments and Deadlines:

  • Labs 3 and 4 are due Monday 2/3 at 11:59pm
  • Homework 2 is due Friday 1/31 at 11:59pm

\(~\)

Week 3 - Correlation and Simple Linear Regression

\(~\)

Week 4 - Marginal vs. Conditional Effects, Stratification, and Multivariable Linear Regression

\(~\)

Week 5 - Multivariable Linear Regression (cont.) and Exam 1

\(~\)

Exam #2 Content

Coming soon

\(~\)

Exam #3 Content

Coming soon

\(~\)

Project

Information about the project will be posted here after Exam 1.

Exams

Information about exams (including dates and study materials) will be posted here.

  • You may anticipate Exam 1 being approximately 4-5 weeks into the semester. A practice exam will be posted closer to the precise exam date.

Unless otherwise indicated, you are responsible for the content of all lectures, labs, and homework on the corresponding exam.