Schedule


Date Topic Materials Due
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 t-distribution
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 Chi-square 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 27-30 Reading Days
Wednesday, May 3 Final Exam (2PM-5PM)
Problem Sets PS 7 Friday, Apr 21 11:55pm
Performance Assessment 7 Sunday, Apr 23 11:55pm