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Midterm

Midterm Instructions

Helpful Hints on Getting Data Ready

Step Due Date
Data Selection/Project Proposal Feburary 16
Data Reading/Check In March 2nd
Presentations Mach 25th



Exams

Unit Date Review
1 Feb 27th Review Sheet

Required Readings

Title Author Journal Year Quiz Date
Tidy Data Hadley Wickham Journal of Statistical Software 2014 2/04
Somewhere Over the Rainbow: An Empirical Assessment of Quantitative Colormaps Yang Liu & Jeffrey Heer Conference on Human Factors in Computing Systems Proceedings 2018 2/20

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

Week 1 (Introduction)

Date Lecture Lab Suggested Reading
Wed 1/21 Syllabus Start of Class R Stuff -
Introduction - IMS Sections 1.2.1-1.2.3
Friday 1/23 Basics of R Lab 1



Week 2 (Visualizations)

Date Lecture Lab Suggested Reading
Mon 1/26 Data Visualization
Wednesday 1/28 ggplot2 ggplot2 lab
critique 2
accessibility in graphics
Friday 1/30 Numeric Summaries See Canvas for Video



Week 3 (Numeric Summaries and Linear Regression)

Date Lecture Lab Suggested Reading
Monday 2/2 Correlation
Wednesday 2/4 Simple Linear Regression
Friday 2/6 Finish Simple Linear Regression SLR Lab
Code Along Finished for Correlation
Code Along Finished for Simple Linear Regression



Week 4 (Linear Regression: Topics)

Date Lecture Lab Suggested Reading
Monday 2/2 SLR: Transformations
Wednesday 2/4 Lego Code Along for Transforms
Friday 2/6 Regression with Indicators if time Lego Code Along for Transforms Finished



Week 5 (Linear Regression: Topics 2)

Date Lecture Lab Suggested Reading
Monday 2/16 Regression with Indicators Linear Regression Exploration
Wednesday 2/18 Practice worksheet and continue lab
Friday 2/20 Multiple Regression




Week 6 (Exam and Unit 2)

Date Lecture Lab Suggested Reading
Monday Feb 23 Review and Practice
Wednesday Feb 25 probability


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.