| Week | Date (A / B) | Topic | Blank Notes | Completed Notes | Reading | Readiness Assessments |
|---|---|---|---|---|---|---|
| 1 |
A Mon Sep 14
B Tue Sep 15
|
Supp — Coke vs. Pepsi | Day 1 Notes | |||
A Tue Sep 15
B Wed Sep 16
|
Intro to R and RStudio | Day 2 Notes (.pdf) Frogs data Day 2 Notes (.zip) |
RStudio Cheatsheet Posit Cheatsheets |
ModernDive 1.1, 1.2, 1.3 | RA1 | |
A Wed Sep 16
B Thu Sep 17
|
Intro to data | Day 3 Notes (.pdf) Day 3 Notes (.zip) |
Day 3 Key | IMS 1.2 | RA2 | |
| 2 |
A Mon Sep 21
B Tue Sep 22
|
Study design | Day 4 Notes (.pdf) Day 4 Notes (.zip) |
Day 4 Key Day 4 annotated |
IMS 2 | RA3 |
A Tue Sep 22
B Wed Sep 23
|
Intro to tidyverse |
Day 5 Notes (.pdf) Day 5 Notes (.zip) Day 5 Challenge (.zip) |
ModernDive 3 | RA4 | ||
A Wed Sep 23
B Thu Sep 24
|
Intro to ggplot2 |
Day 6 Notes (.pdf) Day 6 Notes (.zip) |
ModernDive 2 | |||
| 3 |
A Mon Sep 28
B Tue Sep 29
|
Supp — Probability I | Day 7 Notes (.pdf) Day 7 Notes (.zip) |
Day 7 annotated | Section 3.1 of this book | RA5 |
A Tue Sep 29
B Wed Sep 30
|
Supp — Probability II | Day 8 Notes (.pdf) Day 8 Notes (.zip) |
Day 8 Key | |||
A Wed Sep 30
B Thu Oct 1
|
Supp — Probability III | Day 9 Notes (.pdf) Day 9 Notes (.zip) |
Day 9 annotated | Section 3.2 of this book | RA6 | |
| 4 |
A Mon Oct 5
B Tue Oct 6
|
Quantitative variables | Day 10 Notes (.pdf) Day 10 Notes (.zip) |
Day 10 annotated | IMS 5 | |
A Tue Oct 6
B Wed Oct 7
|
Normal random variables | Day 11 Notes (.pdf) Day 11 Notes (.zip) |
Day 11 annotated | ModernDive 8.1.2, A.2.1 | RA7 | |
A Wed Oct 7
B Thu Oct 8
|
Sampling distributions | Day 12 Notes (.pdf) Day 12 Notes (.zip) |
||||
| 5 |
A Mon Oct 12
B Tue Oct 13
|
The Central Limit Theorem | Day 13 Notes (.pdf) Day 13 Notes (.zip) |
Day 13 annotated | ModernDive 7.3 | RA8 |
A Tue Oct 13
B Wed Oct 14
|
Intro to hypothesis testing | Day 14 Notes (.pdf) Day 14 Notes (.zip) |
Day 14 annotated | IMS 11.3, 13.1, 13.3 | RA9 | |
A Wed Oct 14
B Thu Oct 15
|
Steph Curry activity | Day 15 Notes (.pdf) Day 15 Notes (.zip) |
Day 15 key | |||
| 6 |
A Mon Oct 19
B Tue Oct 20
|
Simulation-based inference for one proportion | Day 16 Notes (.pdf) Day 16 Notes (.zip) |
Day 16 key | ||
A Tue Oct 20
B Wed Oct 21
|
Confidence intervals | Day 17 Notes (.pdf) Day 17 Notes (.zip) |
Day 17 key | IMS 12 | RA10 | |
A Wed Oct 21
B Thu Oct 22
|
Theory-based inference for one proportion | Day 18 Notes (.pdf) Day 18 Notes (.zip) |
Day 18 key | IMS 16.2 | RA11 | |
| 7 |
A Mon Oct 26
B Tue Oct 27
|
Power and types of error | Day 19 Notes (.pdf) Day 19 Notes (.zip) |
Day 19 key Day 19 annotated |
||
A Tue Oct 27
B Wed Oct 28
|
Power cont.; Review I | Day 20 Notes (.pdf) | ||||
A Wed Oct 28
B Thu Oct 29
|
Review II | |||||
A Thu Oct 29
B Thu Oct 29
|
Exam 1 at 6:00 pm in Warner | Practice Exam (.pdf) Practice Exam key (.pdf) Exam 1 key (.pdf) |
||||
A Fri Oct 30
B Fri Oct 30
|
Christian's Fall Faculty Forum talk @ 11:30 in AXN 232 | |||||
| 8 |
A Mon Nov 2
B Tue Nov 3
|
Intro to Chi-squared tests | Day 22 Notes (.pdf) Day 22 Notes (.zip) |
|||
A Tue Nov 3
B Wed Nov 4
|
Chi-squared tests cont. | Day 22 Notes cont. | IMS 18.1 | RA12 | ||
A Wed Nov 4
B Thu Nov 5
|
Theory-based inference for multiple proportions | Day 24 Notes (.pdf) Day 24 Notes (.zip) |
IMS 18.2 | RA13 | ||
| 9 |
A Mon Nov 9
B Tue Nov 10
|
Goodness of fit | Day 25 Notes (.pdf) Day 25 Notes (.zip) |
|||
A Tue Nov 10
B Wed Nov 11
|
Simulation-based inference for a single mean | Day 26 Notes (.pdf) Day 26 Notes (.zip) |
IMS 19.1 | |||
A Wed Nov 11
B Thu Nov 12
|
Theory-based inference for a single mean | Day 27 Notes (.pdf) Day 27 Notes (.zip) |
IMS 19.2 | RA13 | ||
| 10 |
A Mon Nov 16
B Tue Nov 17
|
Simulation-based inference for two means | ||||
A Tue Nov 17
B Wed Nov 18
|
Theory-based inference for two means | |||||
A Wed Nov 18
B Thu Nov 19
|
Theory-based inference for two means cont. | |||||
| 11 |
A Mon Nov 23
B Tue Nov 24
|
No class — Thanksgiving Recess | ||||
A Tue Nov 24
B Wed Nov 25
|
No class — Thanksgiving Recess | |||||
A Wed Nov 25
B Thu Nov 26
|
No class — Thanksgiving Recess | |||||
| 12 |
A Mon Nov 30
B Tue Dec 1
|
Intro to linear regression | ||||
A Tue Dec 1
B Wed Dec 2
|
Correlation and R-squared | |||||
A Wed Dec 2
B Thu Dec 3
|
Assumptions of regression | |||||
| 13 |
A Mon Dec 7
B Tue Dec 8
|
Theory-based inference for regression | ||||
A Tue Dec 8
B Wed Dec 9
|
Simulation-based inference for regression | |||||
A Wed Dec 9
B Thu Dec 10
|
SLR prediction | |||||
A Thu Dec 10
B Thu Dec 10
|
Exam 2 at 6:00 pm in Warner |