| Date |
Topic |
Materials |
Due |
| UNIT 1: |
|
|
|
| Tuesday, July 5 |
Data Collection + Observational studies & experiments |
Deck 0 + Deck 1.1 + App 1.1 |
RA0 |
| Wednesday, July 6 |
RA 1 + Exploratory data analysis |
Deck 1.2 + App 1.2 |
|
| Thursday, July 7 |
More exploratory data analysis |
Deck 1.3 + App 1.3 |
|
|
Lab:- Lab 0: Introduction + Lab 1: Introduction to R & Rstudio |
Lab 0 + Lab 1 |
|
| Friday, July 8 |
Introduction to statistical inference |
Deck 1.4 + App 1.4 |
|
| UNIT 2: |
|
|
|
| Monday, July 11 |
RA 2 + Probability & conditional probability |
Deck 2.1 + App 2.1 |
PS 1 + PA 1 |
|
Lab:- Lab 2: Introduction to data |
Lab 2 |
|
| Tuesday, July 12 |
Bayes' theorem and Bayesian inference |
Deck 2.2 + App 2.2 |
|
| Wednesday, July 13 |
Normal + Binomial distribution |
Deck 2.3 + App 2.3 |
Lab1+Lab 2 |
| UNIT 3: |
|
|
|
| Thursday, July 14 |
Variability in estimates & CLT |
Deck 3.1 + App 3.1 |
PS 2 |
|
Lab:- Lab 3: Probability |
Lab 3 |
|
| Friday, July 15 |
RA 3 + Confidence intervals |
Deck 3.2 + App 3.2 |
|
| Sunday, July 17 |
|
|
PA 2 |
| Monday, July 18 |
Hypothesis tests |
Deck 3.3 |
Lab 3 |
|
Lab:- Midterm review & problem solving (TA) |
|
|
| Tuesday, July 19 |
Midterm review session |
Midterm-Review +Sample midterm + Sample midterm solutions |
PA 3+PS 3 |
| Wednesday, July 20 |
Midterm (in class) |
|
|
| UNIT 4: |
|
|
|
| Thursday, July 21 |
Inference using the t-distribution |
Deck 4.1 + App 4.1 |
|
|
Lab:- Lab 4: Sampling distributions |
Lab 4 |
|
| Friday, July 22 |
RA 4 +Bootstrapping |
Deck 4.2 + App 4.2 |
|
| Monday, July 25 |
Power |
Deck 4.3 + App 4.3 |
|
|
Lab:- Project proposal discussion |
Project proposal discussion |
|
| Tuesday, July 26 |
ANOVA |
Deck 4.4 + App 4.4 |
Lab 4 |
| UNIT 5: |
|
|
|
| Wednesday, July 27 |
Inference for a single proportion |
Deck 5.1 + App 5.1 |
PA 4+PS 4 |
| Thursday, July 28 |
RA 5 +Inference for comparing two proportions |
Deck 5.2 + App 5.2 |
|
|
Lab:- Lab 5: Inference for numerical data |
Lab 5 |
|
| Friday, July 29 |
Chi-square testing |
Deck 5.3 + App 5.3 |
Project proposal |
| UNIT 6: |
|
|
|
| Monday, Aug 1 |
Introduction to regression |
Deck 6.1 + App 6.1 |
Lab 5 + PA 5+PS 5 |
|
Lab:- Lab 6: Inference for categorical data |
Lab 6 |
|
| Tuesday, Aug 2 |
RA 6 +Outliers & Inference for SLR |
Deck 6.2 + App 6.2 |
|
| Wednesday, Aug 3 |
Lecture:- Lab 7: Introduction to linear regression |
Lab 7 |
|
| Thursday, Aug 4 |
Lecture:- Lab 8: Multiple linear regression |
Lab 8 |
PA 6 + PS 6 |
|
Lab:- Lab: Remaining labs to finish! |
|
|
| UNIT 7: |
|
|
|
| Friday, Aug 5 |
RA 7 + Introduction to multiple linear regression |
Deck 7.1 + App 7.1 |
Lab6+Lab 7 +Lab 8 |
| Monday, Aug 8 |
Model selection & diagnostics for MLR |
Deck 7.2 |
|
|
Lab:- Project |
|
|
| Tuesday, Aug 9 |
Application exercises 6.2 and 7.1 to finish! |
|
PA 7 +PS 7 |
| Wednesday, Aug 10 |
Project: Poster session |
|
Project |
| Thursday, Aug 11 |
Review session |
Final Review Problems + Final Review Problems - Key |
|
|
Lab: Review session (TA) |
|
|
| Friday, Aug 12 |
Reading day |
|
|
| Saturday, Aug 13 |
Final Exam |
|
|