Schedule


Date Topic Materials Due
UNIT 1: Introduction to Probability and Data Book: Chapter 1; Weeks: 1 and 2
Monday, Aug 27 Lab 0: Introduction Lab 0
Tuesday, Aug 28 Data Collection + Observational studies & experiments Deck 0 + Deck 1.1
Thursday, Aug 30 RA 1 (not graded) + Exploratory data analysis Deck 1.2 + App 1.1
Monday, Sep 3 Lab 1: Introduction to R & RStudio Lab 1
Tuesday, Sep 5 More exploratory data analysis Deck 1.3 + App 1.2 + App 1.3
Thursday, Sep 6 Introduction to statistical inference Deck 1.4 + App 1.4
Monday, Sep 10 Lab 2: Introduction to data Lab 2 Lab 1
Problem Sets PS1 Friday, Sep 7 11:55pm
Performance Assessment 1 Sunday, Sep 9 11:55pm
UNIT 2: Introduction to Probability and Data Book: 2.1 - 2.2, 3.1 - 3.4, Weeks 3 and 4, PS: 2
Tuesday, Sep 11 RA 2 + Probability & conditional probability Deck 2.1 + App 2.1
Thursday, Sep 13 No Class (Hurricane)
Monday, Sep 17 Lab 3: Probability Lab 3 Lab 2
Tuesday, Sep 18 Bayes' theorem and Bayesian inference Deck 2.2 + App 2.2
Thursday, Sep 20 Normal + Binomial distribution Deck 2.3 + App 2.3
Problem Sets PS2 Friday, Sep 21 11:55pm
Performance Assessment 2 Sunday, Sep 23 11:55pm
UNIT 3: Foundations for Inference Book: Chapter 4, Weeks 1 and 2
Monday, Sep 24 Lab 4: Sampling distributions Lab 4 Lab 3
Tuesday, Sep 25 RA 3 + Variability in estimates & CLT + Confidence intervals Deck 3.1 + Deck 3.2 + App 3.1
Thursday, Sep 27 Midterm 1 review session Midterm 1 Review
Monday, Oct 1 Lab 5: Confidence Intervals Lab 5 Lab 4
Tuesday, Oct 2 Midterm 1 (in class)
Thursday, Oct 4 Hypothesis tests Deck 3.3 + App 3.2
Monday, Oct 8 Fall break! - No lab
Tuesday, Oct 9 Fall break! - No lecture
Problem Sets PS 3 Friday, Oct 5 11:55pm
Performance Assessment 3 Sunday, Oct 7 11:55pm
UNIT 4: Inference for Numerical Variables Book: Chapter 5, Week 3
Thursday, Oct 11 RA 4 + Inference using the t-distribution Deck 4.1 + App 4.1
Monday, Oct 15 Lab 6: Inference for numerical data Lab 6 Lab 5
Tuesday, Oct 16 Bootstrapping Deck 4.2 + App 4.2
Thursday, Oct 18 ANOVA Deck 4.4 + App 4.4
Monday, Oct 20 Project proposal discussion Project Lab 6
Tuesday, Oct 23 Power Deck 4.3 + App 4.3
Problem Sets PS 4 Friday, Oct 26 11:55pm
Performance Assessment 4 Sunday, Oct 28 11:55pm
UNIT 5: Inference for Categorical Variables Book: Chapter 6, Week 4
Thursday, Oct 25 RA 5 +Inference for a single proportion Deck 5.1 + App 5.1
Monday, Oct 29 Lab 7: Inference for categorical data Lab 7 Project Proposal
Tuesday, Oct 30 Inference for comparing two proportions Deck 5.2 + App 5.2
Thursday, Nov 1 Chi-square testing Deck 5.3 + App 5.3
Monday, Nov 5 Review session Lab 7
Tuesday, Nov 6 Midterm 2 review session Midterm Review 2
Thursday, Nov 8 Midterm 2 (in class)
Monday, Nov 12 Lab 8 Introduction to linear regression Lab 8
Problem Sets PS 5 Friday, Nov 2 11:55pm
Performance Assessment 5 Sunday, Nov 4 11:55pm
UNIT 6: Introduction to Linear Regression Book: Chapter 7; Weeks: 1 and 2
Tuesday, Nov 13 RA 6 + Introduction to regression Deck 6.1 + App 6.1
Thursday, Nov 15 Outliers & Inference for SLR Deck 6.2 + App 6.2 + Outlier Example
Monday, Nov 19 Lab 9: Multiple linear regression Lab 9 Lab 8
Problem Sets PS 6 Friday, Nov 16 11:55pm
Performance Assessment 6 Sunday, Nov 18 11:55pm
UNIT 7: Multiple Linear Regression Book: Chapter 8; Week: 3
Tuesday, Nov 20 RA 7 + Introduction to multiple linear regression Deck 7.1
Thursday, Nov 22 Thanksgiving Recess! - No lab
Monday, Nov 26 Project discussion Lab 9
Tuesday, Nov 27 Model selection & diagnostics for MLR Deck 7.2 + App 7.1
Thursday, Nov 29 Transformation and case studies Deck 7.3 + App 7.2
Monday, Dec 3 Project Presentations Project
Tuesday, Dec 4 Review session Final Review Slides
Thursday, Dec 6 Review session
Problem Sets PS 7 Wednesday,Dec 5 11:55pm
Performance Assessment 6 Sunday, Dec 9 11:55pm
Friday, Dec 7-11 Reading days
Friday, Dec 14 Final Exam (2PM -5PM)