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

Wednesday, Jan 11 
Data Collection + Observational studies & experiments 
Lesson 0 + Lesson 1.1 

Thursday, Jan 12 
Lab 0: Introduction 
Lab 0 

Monday, Jan 16 
No Class  Martin Luther King Jr. Day 


Wednesday, Jan 18 
RA 1 (Not Graded) + Exploratory data analysis 
Lesson 1.2 

Thursday, Jan 19 
Lab 1: Introduction to R & Rstudio 
Lab 1 

Monday, Jan 23 
More exploratory data analysis 
Lesson 1.3 + App Ex 1.1 + App Ex 1.2 + App Ex 1.3 

Wednesday, Jan 25 
Introduction to statistical inference 
Lesson 1.4 + App Ex 1.4 

Thursday, Jan 26 
Lab 2: Introduction to data 
Lab 2 
Lab 1 

Problem Sets 
PS1 
Friday, Jan 27 11:55pm 

Performance Assessment 1 

Sunday, Jan 29 11:55pm 
UNIT 2: 
Introduction to Probability and Data 
Book: 2.1 – 2.2, 3.1 – 3.4, Weeks 3 and 4, PS: 2 

Monday, Jan 30 
RA 2 + Probability & Conditional Probability 
Lesson 2.1 + App Ex 2.1 

Wednesday, Feb 1 
Bayes' Theorem and Bayesian Inference 


Thursday, Feb 2 
Lab 3: Probability 
Lab 3 
Lab 2 
Monday, Feb 6 
Normal & Binomial Distributions 



Problem Sets 
PS2 
Wednesday, Feb 8 11:55pm 

Performance Assessment 2 

Sunday, Feb 12 11:55pm 
UNIT 3: 
Foundations for Inference 
Book: Chapter 4, Weeks 1 and 2 

Wednesday, Feb 8 
RA 3 + Variabilty in Estimate & CLT 


Thursday, Feb 9 
Lab 4: Sampling Distributions 
Lab 4 
Lab 3 
Monday, Feb 13 
Confidence Intervals 


Wednesday, Feb 15 
Midterm 1 Review Session 


Thursday, Feb 16 
Review session 


Monday, Feb 20 
Midterm 1 (in class) 


Wednesday, Feb 22 
Hypothesis Tests 



Problem Sets 
PS 3 
Friday, Feb 24 11:55pm 

Performance Assessment 3 

Sunday, Feb 26 11:55pm 
UNIT 4: 
Inference for Numerical Variables 
Book: Chapter 5, Week 3 

Thursday, Feb 23 
Lab 5: Confidence Intervals 
Lab 5 
Lab 4 
Monday, Feb 27 
RA 4 + Inference Using the tdistribution 


Wednesday, Mar 1 
Bootstrapping 


Thursday, Mar 2 
Lab: Project Proposal Discussion 
Project 
Lab 5 
Monday, Mar 6 
Power 


Wednesday, Mar 8 
ANOVA 


Thursday, Mar 9 
Lab 6: Inference for Numerical Data 
Lab 6 
Project Proposals 

Problem Sets 
PS 4 
Friday, Mar 10 11:55pm 

Performance Assessment 4 

Sunday, Mar 12 11:55pm 
UNIT 5: 
Inference for Categorical Variables 


Monday, Mar 20 
RA 5 + Inference for a Single Proportion 


Wednesday, Mar 22 
Inference for Comparing Two Proportions 


Thursday, Mar 23 
Lab 7: Inference for Categorical Data 
Lab 7 
Lab 6 
Monday, Mar 27 
Chisquare testing 


Wednesday, Mar 29 
Midterm 2 review session 


Thursday, Mar 30 
Lab: Review Session 


Monday, Apr 3 
Midterm 2 (in class) 



Problem Sets 
PS 5 
Friday, Mar 31 11:55pm 

Performance Assessment 5 

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

Wednesday, Apr 5 
RA 6 + Introduction to regression 


Thursday, Apr 6 
Lab 8: Introduction to Linear Regression 
Lab 8 
Lab 7 
Monday, Apr 10 
Outliers & Inference for SLR 



Problem Sets 
PS 6 
Wednesday, Apr 12 11:55pm 

Performance Assessment 6 

Sunday, Apr 16 11:55pm 
UNIT 7: 
Multiple Linear Regression 
Book: Chapter 8; Week: 3 

Wednesday, Apr 12 
RA 7 + Introduction to Multiple Linear Regression 


Thursday, Apr 13 
Lab 9: Multiple Regression 
Lab 9 
Lab 8 
Monday, Apr 17 
Project Meeting 


Wednesday, Apr 19 
Model Selection, Diagnostics for MLR & Transformations 


Thursday, Apr 20 
Project: Poster session 

Lab 9 
Monday, Apr 24 
Review session 


Wednesday, Apr 26 
Review session 


Thursday, Apr 2730 
Reading Days 


Wednesday, May 3 
Final Exam (2PM5PM) 



Problem Sets 
PS 7 
Friday, Apr 21 11:55pm 

Performance Assessment 7 

Sunday, Apr 23 11:55pm 