STA 240 Probability for Statistical Inference
Duke University Fall 2025
Below is a prospective outline for the course. Due dates are firm, but topics may change with advanced notice.
| WEEK | DATE | PREPARE | TOPIC | MATERIALS | DUE |
|---|---|---|---|---|---|
| 1 | Wed, Jan 7 | ||||
| Thu, Jan 8 | Lab 0 (calculus review) | Lab 0 @11:59 PM | |||
| 2 | Mon, Jan 12 | Set theory | |||
| Wed, Jan 14 | Probability spaces | ||||
| Thu, Jan 15 | Lab 1 (hello R) | Lab 1 @11:59 PM | |||
| 3 | Mon, Jan 19 | MLK Day - No classes | |||
| Wed, Jan 21 | Counting | ||||
| Thu, Jan 22 | Lab 2 @11:59 PM | ||||
| 4 | Mon, Jan 26 | Counting | |||
| Wed, Jan 28 | Conditional probability | ||||
| Thu, Jan 29 | Lab 3 @11:59 PM | ||||
| 5 | Mon, Feb 2 | Conditional probability | |||
| Wed, Feb 4 | Random variables intro | ||||
| Thu, Feb 5 | Lab 4 @11:59 PM | ||||
| 6 | Mon, Feb 9 | Discrete families | |||
| Wed, Feb 11 | Expected value | ||||
| Thu, Feb 12 | Midterm 1 review | Pset 3 | |||
| 7 | Mon, Feb 16 | Variance | |||
| Wed, Feb 18 | Midterm 1 | ||||
| Thu, Feb 19 | Lab 5 @11:59 PM | ||||
| 8 | Mon, Feb 23 | Cdfs, continuous random vars | |||
| Wed, Feb 25 | Absolute continuity | ||||
| Thu, Feb 26 | Lab 6 @11:59 PM | ||||
| 9 | Mon, Mar 2 | Normal, gamma | |||
| Wed, Mar 4 | Moments and quantiles | ||||
| Thu, Mar 5 | Lab 7 (transformations) | Lab 7 @11:59 PM | |||
| 10 | Mon, Mar 9 | Spring Break - No classes | |||
| 11 | Mon, Mar 16 | MGF | |||
| Wed, Mar 18 | Joint discrete r.v.’s | ||||
| Thu, Mar 19 | Lab 8 @11:59 PM | ||||
| 12 | Mon, Mar 23 | Joint continuous r.v.’s | |||
| Wed, Mar 25 | Sums and averages | Pset 5 | |||
| Thu, Mar 26 | Midterm 2 review | ||||
| 13 | Mon, Mar 30 | Midterm 2 | |||
| Wed, Apr 1 | Limit theorems | ||||
| Thu, Apr 2 | Lab 9 @11:59 PM | ||||
| 14 | Mon, Apr 6 | What is statistics? | |||
| Wed, Apr 8 | What is statistics? | ||||
| Thu, Apr 9 | Lab 10 @11:59 PM | ||||
| 15 | Mon, Apr 13 | Maximum likelihood | |||
| Wed, Apr 15 | Maximum likelihood | Pset 6 | |||
| Thu, Apr 16 | Lab 11 @11:59 PM | ||||
| 16 | Mon, Apr 20 | Bayesian inference | |||
| Wed, Apr 22 | Bayesian inference | ||||
| 17 | Mon, Apr 27 | Final exam (9am-12pm) |
Extra notes
You’re not responsible for any of this, but it’s extra stuff I had lying around that you might find interesting:
- Alternative notes on MLE, with more discussion of confidence intervals: set 1, set 2;
- “AP Statistics in 75 minutes.” After this class, we have all of the tools to derive the itchy formulas that we take for granted in AP Stats or STA 101.
