UNIT 1: 
Introduction to Probability and Data 
Book: Chapter 1; Weeks: 1 and 2 

Wednesday, Jan 9 
Lab 0: Introduction 
Lab 0 

Thursday, Jan 10 
Data Collection + Observational studies & experiments 
Deck 0 + Deck 1.1 

Monday, Jan 14 
Lab 1: Introduction to R & RStudio 
Lab 1 

Tuesday, Jan 15 
RA 1 (not graded) + Exploratory data analysis 
Deck 1.2 + App 1.1 

Thursday, Jan 17 
More exploratory data analysis 
Deck 1.3 + App 1.2 + App 1.3 

Monday, Jan 21 
No Class  Martin Luther King Jr. Day 


Tuesday, Jan 22 
Introduction to statistical inference 
Deck 1.4 + App 1.4 


Problem Sets 
PS1 
Friday, Jan 25 11:55pm 

Performance Assessment 1 

Sunday, Jan 27 11:55pm 
UNIT 2: 
Introduction to Probability and Data 
Book: 2.1  2.2, 3.1  3.4, Weeks 3 and 4, PS: 2 

Thursday, Jan 24 
RA 2 + Probability & conditional probability 
Deck 2.1 + App 2.1 

Monday, Jan 28 
Lab 2: Introduction to data 
Lab 2 
Lab 1 
Tuesday, Jan 29 
Bayes' theorem and Bayesian inference 
Deck 2.2 + App 2.2 

Thursday, Jan 31 
Normal + Binomial distribution 
Deck 2.3 + App 2.3 

Monday, Feb 4 
Lab 3: Probability 
Lab 3 
Lab 2 

Problem Sets 
PS2 
Friday, Feb 1 11:55pm 

Performance Assessment 2 

Sunday, Feb 3 11:55pm 
UNIT 3: 
Foundations for Inference 
Book: Chapter 4, Weeks 1 and 2 

Tuesday, Feb 5 
RA 3 + Variability in estimates & CLT 
Deck 3.1 

Thursday, Feb 7 
Confidence intervals 
Deck 3.2 + App 3.1 

Monday, Feb 11 
Lab 4: Sampling distributions 
Lab 4 
Lab 3 
Tuesday, Feb 12 
Midterm 1 review session 
MT Review 

Thursday, Feb 14 
Midterm 1 (in class) 


Monday, Feb 18 
Lab 5: Confidence Intervals 
Lab 5 
Lab 4 
Tuesday, Feb 19 
Hypothesis tests 
Deck 3.3 + App 3.2 


Problem Sets 
PS 3 
Friday, Feb 22 11:55pm 

Performance Assessment 3 

Sunday, Feb 24 11:55pm 
UNIT 4: 
Inference for Numerical Variables 
Book: Chapter 5, Week 3 

Thursday, Feb 21 
RA 4 + Inference using the tdistribution 
Deck 4.1 + App 4.1 

Monday, Feb 25 
Lab 6: Inference for numerical data 
Lab 6 
Lab 5 
Tuesday, Feb 26 
Bootstrapping 
Deck 4.2 + App 4.2 

Thursday, Feb 28 
ANOVA 
Deck 4.4 + App 4.4 

Monday, Mar 4 
Project proposal discussion 
Project: Stage 1 + Stage 2 
Lab 6 
Tuesday, Mar 5 
Power 
Deck 4.3 + App 4.3 


Problem Sets 
PS 4 
Friday, Mar 8 11:55pm 

Performance Assessment 4 

Sunday, Mar 10 11:55pm 
UNIT 5: 
Inference for Categorical Variables 
Book: Chapter 6, Week 4 

Thursday, Mar 7 
RA 5 + Inference for a single proportion 
Deck 5.1 + App 5.1 

March 11  March 15 
Spring Recess 


Monday, Mar 18 
Lab 7: Inference for categorical data 
Lab 7 
Project: Stage 1 
Tuesday, Mar 19 
Inference for comparing two proportions 
Deck 5.2 + App 5.2 

Thursday, Mar 21 
Chisquare testing 
Deck 5.3 + App 5.3 

Monday, Mar 25 
Lab: Review session 

Lab 7 
Tuesday, Mar 26 
Midterm 2 review session 
Midterm Review 2 

Thursday, Mar 28 
Midterm 2 (in class) 



Problem Sets 
PS 5 
Friday, Mar 22 11:55pm 

Performance Assessment 5 

Sunday Mar 24, 11:55pm 
UNIT 6: 
Introduction to Linear Regression 
Book: Chapter 7; Weeks: 1 and 2 

Monday, Apr 1 
Lab 8 Introduction to linear regression 
Lab 8 

Tuesday, Apr 2 
RA 6 + Introduction to regression 
Deck 6.1 + App 6.1 

Thursday, Apr 4 
Outliers & Inference for SLR 
Deck 6.2 + App 6.2 + Outlier Example 


Problem Sets 
PS 6 
Sunday, Apr 7 11:55pm 

Performance Assessment 6 

Sunday, Apr 7 11:55pm 
UNIT 7: 
Multiple Linear Regression 
Book: Chapter 8; Week: 3 

Monday, Apr 8 
Lab 9: Multiple linear regression 
Lab 9 
Lab 8 
Tuesday, Apr 9 
RA 7 + Introduction to multiple linear regression 
Deck 7.1 

Thursday, Apr 11 
Model selection & diagnostics for MLR 
Deck 7.1 cont. + App 7.1 

Monday, Apr 15 
Lab: Project Meetings 

Lab 9 
Tuesday, Apr 16 
Transformation and case studies 
Deck 7.2 

Thursday, Apr 18 
Project Meetings 


Monday, Apr 22 
Lab: Project Presentations 


Tuesday, Apr 23 
Final Exam Review 
Final Exam Review 

Apr 25  Apr 28 
Reading Days 


Monday, Apr 29 
Final Exam 9AM  12PM 



Problem Sets 
PS 7 
Wednesday, Apr 19 11:55pm 

Performance Assessment 7 

Sunday, Apr 21 11:55pm 