| Week | Date | Topic | Prepare | Agenda | Homework | |||
|---|---|---|---|---|---|---|---|---|
| Reading | Slides | Activity | submit_act | Tutorial | due | |||
1 |
Wed Sep 25 | Introduction | Syllabus |
Thu Sep 26 | ||||
| Fri Sep 27 | Posit Cloud | Sun Sep 29 | ||||||
2 |
Mon Sep 30 | Data Visualization | Tue Oct 01 | |||||
| Wed Oct 02 | Data Visualization | Thu Oct 03 | ||||||
| Fri Oct 04 | Data Visualization | Sun Oct 06 | ||||||
3 |
Mon Oct 07 | Data Wrangling | Tue Oct 08 | |||||
| Wed Oct 09 | Data Wrangling | Thu Oct 10 | ||||||
| Fri Oct 11 | Tidy Data | Sun Oct 13 | ||||||
4 |
Mon Oct 14 | Exam 1 | Tue Oct 15 | |||||
| Wed Oct 16 | Basic Regression | Thu Oct 17 | ||||||
| Fri Oct 18 | Basic Regression | Sun Oct 20 | ||||||
5 |
Mon Oct 21 | Multiple Regression | Tue Oct 22 | |||||
| Wed Oct 23 | Multiple Regression | Thu Oct 24 | ||||||
| Fri Oct 25 | Randomization & Causality | Sun Oct 27 | ||||||
6 |
Mon Oct 28 | Pop & Generalizability | Tue Oct 29 | |||||
| Wed Oct 30 | Exam 2 | Thu Oct 31 | ||||||
| Fri Nov 01 | Normal Distributions | Sun Nov 03 | ||||||
7 |
Mon Nov 04 | Sampling Distributions | Tue Nov 05 | |||||
| Wed Nov 06 | Sampling Distributions | Thu Nov 07 | ||||||
| Fri Nov 08 | Confidence Intervals | Sun Nov 10 | ||||||
8 |
Mon Nov 11 | Confidence Intervals | Tue Nov 12 | |||||
| Wed Nov 13 | P-values | Thu Nov 14 | ||||||
| Fri Nov 15 | Hypothesis Testing I | Sun Nov 17 | ||||||
9 |
Mon Nov 18 | Hypothesis Testing II | Tue Nov 19 | |||||
| Wed Nov 20 | Hypothesis Testing III | Thu Nov 21 | ||||||
| Fri Nov 22 | Project Overview | Sun Nov 24 | ||||||
10 |
Mon Nov 25 | Exam 3 | Tue Nov 26 | |||||
| Wed Nov 27 | Thanksgiving - No Class | Thu Nov 28 | ||||||
11 |
Mon Dec 02 | Reading Period - No Class | Tue Dec 03 | |||||
| Wed Dec 04 | Reading Period - No Class | Remote OH on Zoom |
Thu Dec 05 | |||||
| Fri Dec 06 | Reading Period - No Class | Remote OH on Zoom |
Sun Dec 08 | |||||
12 |
Mon Dec 09 | Final project due Monday 11:59pm | Tue Dec 10 | |||||
| Thu Dec 12 | Optional Final Exam: 3 pm central time | Remote on Zoom |
Fri Dec 13 | |||||
STAT 202: Introduction to Statistics and Data Science
This page contains an outline of the topics, content, and assignments for the quarter. If you miss a class it is your responsibility to catch up on missed work. That means review the slides, complete the activity, submit any homework, and attend office hours if you need help.