### Notes

• When to complete the assignment: Students should complete the homework after the associated class, but before the next class.
• Last-minute changes: While I expect each homework assignment to change very little once posted, I might make small changes up to an hour or so after class. (Students occasionally have questions or concerns that prompt me to clarify or slightly modify the assignment.)
• Exercises from the Textbook: Throughout the semester, we’ll often complete exercises from our textbook. You can find the complete collection of assigned exercises here in HTML format for viewing on the web or here in PDF format for printing. These exercises will likely change very little throughout the semester unless something drastic happens.

### Course Schedule

Jan 06: Introduction [HW]

#### Part I: Approaching Data

Jan 11: Questions [HW]

Jan 13: Models [HW]

Jan 18: Statistical Computing with R [HW]

Jan 20: Causality [HW]

Jan 25: A catch up day. See HW for Jan 20.

Jan 27: Meeting Cancelled

Feb 03: Exam 1

#### Part II: Describing Data

Feb 08: “Histograms [HW]

Feb 10: Histograms in R [HW]

Feb 15: Avg. and SD [HW]

Feb 17: Avg. and SD in R [HW]

2-22-22: Normal Approximation [HW]

Feb 24: Correlation [HW]

Mar 01: Regression I [HW]

Mar 03: Regression II [HW]

Mar 08: Exam 2

Mar 10: Cancelled

#### Part III: Inferring from Data

Mar 22: Probability Theory [HW]

Mar 24: The Numbered-Ticket Model [HW]

Mar 29: The Normal Approximation for the Numbered-Ticket Model [HW]

Mar 31: Sample Surveys [HW] <— video of class here

Apr 05: Confidence Intervals for Percents [HW]

Apr 07: Hypothesis Tests [HW]

Apr 12: Review [HW]

Apr 14: Regression, returned [HW]

Apr 19: Regression, Part II [HW]

Apr 21: Regression, Part III [HW]

Tuesday, April 26, 5:30pm. – 7:30pm: Final Exam [formula sheet]

Carlisle Rainey