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Last updated: Tue Oct 14 2025, 13:04


Midterm

Midterm Instructions

Step Due Date
Data Selection/Project Proposal October 10
Data Reading/Check In October 31
Presentations November 14

Exam

It’ll be the full 80 minutes. You may bring a notecard and a calculator. If you do not have a calculator you may leave your answer unsimplified. Eg predicted price = $ e^2.19.

Study Guide Date
Exam 1 Study Guide Friday October 17th

Homework

All homework is due at 9pm unless clearly specified otherwise.

Rmd Due Date Helpful Things
Homework 1 October 1st Examples of the graphs you’ll be remaking
Homework 2 October 15th CODE NEEDED RIGHT AFTER YOU READ IN THE DATA: legos$Year <- as.factor(legos$Year)


Required Readings

Title Author Journal Year Quiz
Tidy Data Hadley Wickham Journal of Statistical Software 2014 9/15
Principles of Effective Data Visualization Stephen R. Midway Patterns 2020 10/6

Please note that you are fully allowed (encouraged even!) to visit during office hours to talk about the required reading if you’d like. I’m glad to chat about it and discuss any questions you might have. Also please note that I’d like you to understand the broad strokes of the paper/what the author is getting at. I will avoid quizzing you over the nitty-gritty details.



Notes


Module 1 (Introduction)

Date Lecture Lab Suggested Reading
Fri 8/28 Syllabus - -
Introduction - IMS Sections 1.2.1-1.2.3

Assignments and Deadlines

  1. Install R (https://cran.r-project.org/)

  2. Install RStudio (https://posit.co/download/rstudio-desktop/)

  3. Begin thinking of interesting data sources for you midterm projects



Module 2 (R)

Date Lecture Lab Suggested Reading
Wednesday 9/3 Intro to R lab 1 -
- - lab 1 Helpful Hints H. Wickham discussing enviroments in R
Friday 9/5 Visualizations in R Continue lab 1 -

Assignments and Deadlines

  1. First lab is due Septmber 9th
  2. Hadley Wickham’s Tidy Data published in Journal of Statistical Software in 2014 with a quiz on September 15th


Module 3 (Data Graphics)

Date Lecture Lab Suggested Reading
Monday 9/8 Data Visualization II (Boxplots) -
Wednesday 9/10 Data Visualization III (Accessibility) data vis lab -
Friday 9/12 - Finish lab 2 -

Assignments and Deadlines

  1. First lab is due Septmber 9th
  2. Hadley Wickham’s Tidy Data published in Journal of Statistical Software in 2014 with a quiz on September 15th


Module 4 (ggplot2 and Numeric Summaries)

Date Lecture Lab Suggested Reading
Monday 9/15 ggplot2 ggplot2 lab -
Wednesday 9/17 Finish ggplot2 lab -
ggplot2 helpful hints
Friday 9/19 Numeric Summaries Code Along

Assignments and Deadlines

  1. Second lab is due September 16th
  2. ggplot lab is due September 23nd


Module 5 (Numeric Summaries)

Date Lecture Lab Suggested Reading
Monday 9/22 Correlation if time - Finished Code Along
Wednesday 9/24 Correlation - Correlation Code Along
Friday 9/26 Simple Linear Regression Part 1 Finished correlation code along


Module 6 (Linear Regression)

Date Lecture Lab Suggested Reading
Monday 9/29 Finish Simple Linear Regression Linear Regression Code Along
Wednesday 10/01 Linear Regression Lab
Wednesday 10/01 Finish Lab


Module 7 (Linear Regression Topics)

Date Lecture Lab Suggested Reading
Monday 10/06 Transformations Slide 29 corrected
Wednesday 10/08 Transformations Finished, Categorical Predictors Lego code_along
Wednesday 10/08 Lego code_along_finished
Friday 10/10 Lego Code Along for Transforms
Friday 10/10 Lego Code Along for Transforms Done

Assignments and Deadlines Assignments and Deadlines

  1. Exam Friday October 17
  2. Homework 2 due October 15th


Module 8 (Simulations and Review)

Date Lecture Lab Suggested Reading
Monday 10/06 Simulations

Assignments and Deadlines

  1. Exam Friday October 17
  2. Homework 2 due October 15th




Syllabus

Welcome to the course website for SAT 209, Applied Statistics. To begin, you can find the course syllabus linked below:

You can locate course content by scrolling, or by using the outline in the upper left. Please note: material will not be posted until we’ve reached that point in the course.



Coding

My goal is to include the R code that I use to make different graphs, expamples, etc…, for the course. Most of it will be more advanced than what I will teach you or that you need but I want you to have access to examples if you’d like.

Please go here.