Schedule


Date Topic Materials Due
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 t-distribution 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 Chi-square 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