Midterm

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
Mon 1/25	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
			Code Along Finished for Simple Linear Regression

Week 4 (Linear Regression: Topics)

Date	Lecture	Lab
Monday 2/9	Finish Linear Models
Wednesday 2/11	Regression with Indicators
Friday 2/13		Indicator Code Along Finished

Week 5 (Linear Regression: Topics 2)

Date	Lecture	Lab
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 SST 115, Introduction to Statistics. To begin, you can find the course syllabus linked below:

Click here to view the course syllabus

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.

SST-115 Introduction to Statistics (Spring 2025)