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# | Date | Topic | Lecture Slides/Notes | Codes | Summary Notes | Announcement | Extra reading |
---|---|---|---|---|---|---|---|
L1 | Jan 22 | Chapter 1: Introduction | Intro-1, Intro-2,Intro-3 | Chapter 1 Summary | Check TAs’ office hours at the course info page. | What is statistics | |
L2 | Jan 24 | Chapter 2: Descriptive Statistics | Slides, Examples | R code | Chapter 2 Summary | HW1 is out, due on 2/1. Download the assignment on the bottom of this page. | |
L3 | Jan 29 | Chapter 3: Probability, Chapter 4 (Part 1): RVs and Distributions | Chapter 3,Chapter 4, Part 1, Chapter 3 Exercise | R code | Chapter 3 Summary | ||
L4 | Jan 31 | cancelled | |||||
L5 | Feb 5 | Chapter 4 (Part 2) | Chapter 4, Part 2 | HW2 is out, due on 2/12. | |||
L6 | Feb 7 | Chapter 4 (Part 3), Chapter 5 (Part 1): Estimation | Chapter 4, Part 3, Chapter 5, Part 1, Exercise | R code | Chapter 4 Summary | ||
L7 | Feb 12 | Chapter 5 (Part 2) | Chapter 5, Part 2 | ||||
L8 | Feb 14 | Chapter 5 (Part 3) | Chapter 5, Part 3 | HW3 is out, due on 2/22. | |||
L9 | Feb 19 | Chapter 5 (Part 4) | Chapter 5, Part 4, Estimation Lecture Notes | ||||
L10 | Feb 21 | Chapter 5 (Part 5) | Chapter 5, Part 5, Bootstrap extra reading | Bootstrap R code | Chapter 5 Summary | ||
L11 | Feb 26 | Midterm 1 review | Slides | Midterm 1 will cover all materials through QQ plot and CLT in Part 3 of Chapter 5. Download Midterm 1 practice on the bottom of this page. | |||
Feb 28 | Midterm 1 | HW4 is out, due on 3/8. | |||||
L12 | Mar 5 | Chapter 6: Intro to hypothesis testing | Chapter 6 | Chapter 6 Summary | |||
L13 | Mar 7 | Chapter 7 (Part 1): one sample tests | Chapter 7, Part 1 | Not Even Scientists Can Easily Explain P-values | |||
L14 | Today’s lecture is cancelled. | ||||||
L15 | Mar 14 | Chapter 7 (Part 2) | Chapter 7, Part 2 | HW5 is out, due on 3/26. | |||
Mar 19 | Spring break, no lecture | Happy Spring Break | |||||
Mar 21 | Spring break, no lecture | ||||||
L16 | Mar 26 | Chapter 7 (Part 3) | Chapter 7, Part 3 | Chapter 7 Summary | HW6 is out, due on 4/2. | ||
L17 | Mar 28 | Chapter 8 (Part 1): comparing two independent populations | Chapter 8, Part 1 | two sample t test R code | |||
L18 | Apr 2 | Chapter 8 (Part 2) | Chapter 8, Part 2 | Permutation test R code | Chapter 8 Summary | ||
L19 | Apr 4 | Chapter 9: comparing two paired populations | Chapter 9 | Paired t test R code | Chapter 9 Summary | ||
L20 | Apr 9 | Review | Midterm 2 Review | Midterm 2 covers L8 to L18. | |||
Apr 11 | Exam 2 | ||||||
L21 | Apr 16 | Chapter 10 (Part 1): comparing multiple independent populations | Chapter 10, ANOVA in R | ANOVA R code | Download F table from Canvas. HW7 is out, due on 4/23. | ||
L22 | Apr 18 | Chapter 10 (Part 2), Chapter 11 (Part 1): Linear regression | Chapter 11 Part 1 | Chapter 10 Summary | Introduction to statistical learning | ||
L23 | Apr 23 | Chapter 11 (Part 2) | Chapter 11 Part 2 | HW8 is out, due on 5/2. Download at Canvas. | Extra slides on linear regression | ||
L24 | Apr 25 | Chapter 11 (Part 3) | Lab: simple linear regression (download this html file to read the material.) | Simple linear regression R code | Chapter 11 Summary | ||
L25 | Apr 30 | Cancelled | |||||
L26 | May 2 | Review | Final review slides | ||||
May 5, 7:25-9:25pm | Final Exam | Good luck! | Please check out your final exam room at Canvas. |