Schedule

Authors

Affiliation

Please consult Smith’s academic calendar.

Part 1: Descriptive Statistics

1. Mon, Jan 26

2. Wed, Jan 28

• Questionnaire
• Is Yawning Contagious?

NoteHomework (before next class)

• Read IMS, Ch. 1
• Start HW #1

3. Fri, Jan 30

• Data & Data Collection
• Knowledge Check #1
• HW #1 jump-start

NoteHomework (before next class)

• HW 1 due by Friday at midnight
• Read IMS, Ch. 2
• Read IMS, Ch. 3

4. Mon, Feb 2

• Sampling and Experiments
• Data & Sampling

NoteHomework (before next class)

• Read IMS, Ch. 4
• Read IMS, Ch. 5

5. Wed, Feb 4

• Numerical data
• Categorical data
• Center, Shape, and Spread

NoteHomework (before next class)

• Read IMS, Ch. 7.1
• Extra reading: Nature editorials on reproducible research

6. Fri, Feb 6

• Stratified Sampling demo
• Correlation

NoteHomework (before next class)

• HW 2 due by Friday at midnight
• Read IMS, Ch. 7.2

7. Mon, Feb 9

• Simple Linear Regression

NoteHomework (before next class)

• Read IMS, Ch. 7.3

8. Wed, Feb 11

• Linear fit

NoteHomework (before next class)

• Read IMS, Ch. 7.4

9. Fri, Feb 13

• Outliers & Leverage

NoteHomework (before next class)

• HW 3 due by Friday at midnight
• Read IMS, Ch. 8.0–8.1

10. Mon, Feb 16

• Parallel slopes models

NoteHomework (before next class)

• Read IMS, Ch. 8.2
• Post project groups to #proj-groups-sec3 Slack channel

11. Wed, Feb 18

• Multiple Regression

NoteHomework (before next class)

• Study for Exam 1

12. Fri, Feb 20

• Project (Proposal)
• REVIEW SESSION

ImportantWeekend of Feb 20-22

• EXAM 1
  • Read the procedures

Part 2: Foundations for Inference

13. Mon, Feb 23

NoteHomework (before next class)

• Read, OI, Ch. 3.1

14. Wed, Feb 25

• Demo: Randomness
• Probability
• Probability

NoteHomework (before next class)

• Read, OI, Ch. 3.2

15. Fri, Feb 27

• Conditional Probability
• Conditional Probability

NoteHomework (before next class)

• HW 4 due by Friday at midnight

16. Mon, Mar 2

• More on Conditional Probability

NoteHomework (before next class)

• Read, OI, Ch. 3.4

17. Wed, Mar 4

• Eating red meat causes cancer?
• Random Variables
• Random Variables

NoteHomework (before next class)

• Read IMS, Ch. 12

18. Fri, Mar 6

NoteHomework (before next class)

• HW 5 due by Friday at midnight

19. Mon, Mar 9

• Sampling distributions
• Work on Projects

NoteHomework (before next class)

• Read IMS, Ch. 11

20. Wed, Mar 11

• Confidence Intervals

NoteHomework (before next class)

• Project Proposal due
• Read IMS, Ch. 16.1

21. Fri, Mar 13

• Hypothesis Testing
• Hypothesis Testing

NoteHomework (before next class)

• Read IMS, Ch. 13
• HW 6 due by Friday at midnight
• Self-reflection due

22. Mon, Mar 16

• SPRING BREAK – NO CLASS

23. Wed, Mar 18

• SPRING BREAK – NO CLASS

24. Fri, Mar 20

• SPRING BREAK – NO CLASS

25. Mon, Mar 23

NoteHomework (before next class)

• Read IMS, Ch. 14–15

26. Wed, Mar 25

• Parametric bootstrap
• More Hypothesis Testing
• What of p-values?:
  • Psychology Journal Bans p-Values
  • ASA Statement on Statistical Significance and P-Values
  • The American Statistician, Volume 73, Issue sup1 (2019)

NoteHomework (before next class)

• Study for Exam 2

27. Fri, Mar 27

• REVIEW SESSION

ImportantWeekend of Mar 27-29

• HW 7 due by Friday at midnight
• EXAM 2
  • Read the procedures
• Read IMS, Ch 16.2

Part 3: Inferential Statistics

28. Mon, Mar 30

• Central Limit Theorem and Normal Distribution
• Normal distribution
• OpenIntro Distribution Calculator

NoteHomework (before next class)

• Read IMS, Ch 16

29. Wed, Apr 1

• Inference for a single proportion

NoteHomework (before next class)

• Read IMS, Ch 16

30. Fri, Apr 3

• Inference for a single proportion (cont’d)
• Difference of two proportions

NoteHomework (before next class)

• HW 8 due by Friday at midnight
• Re-read IMS, Ch 11

31. Mon, Apr 6

• Randomization test
• Randomization test

NoteHomework (before next class)

• Read IMS, Ch 17

32. Wed, Apr 8

• Inference for comparing two proportions

NoteHomework (before next class)

• Read IMS, Ch 18

33. Fri, Apr 10

• Inference for two-way tables
• Inference for two-way tables

NoteHomework (before next class)

• HW 9 (OPTIONAL) due by Friday at midnight
• Read IMS, Ch 19

• ASA Five College DataFest

34. Mon, Apr 13

• Inference for a single mean
• Inference for a single mean

NoteHomework (before next class)

• Read IMS, Ch 20

35. Wed, Apr 15

• Inference for comparing two independent means
• Difference of two means

NoteHomework (before next class)

• Read IMS, Ch 21–22

36. Fri, Apr 17

• Inference for comparing paired means
• Inference for comparing many means (ANOVA)
• Handout: ANOVA

NoteHomework (before next class)

• Homework:
• HW 10 due by Friday at midnight
• Read IMS, Ch 23
• Read IMS, Ch 24

37. Mon, Apr 20

• Inference for linear regression with a single predictor (bootstrap)
• Projects

NoteHomework (before next class)

• Read IMS, Ch 25

38. Wed, Apr 22

• Inference for linear regression with a single predictor (testing)

39. Fri, Apr 24

• Inference for linear regression with multiple predictors
• Handout: MLR

NoteHomework (before next class)

• Study for exam!

ImportantWeekend of Apr 24-26

• EXAM 3
  • Read the procedures

Part 4: Project Work

40. Mon, Apr 27

• Projects

41. Wed, Apr 29

• Projects

42. Fri, May 1

• Projects

ImportantWeekend of May 1-3

• Prepare for Oral review
• Project Report, final draft due May 8 by 3 pm sharp!