Today we briefly covered the very beginning of chapter 16 (how to calculate mean and st. dev of a discrete random variable):

• 16 Notes - Random Variables I (sorry, no video this time)

Here is the review for the next exam (which is scheduled for Th/F, Nov 12/13):

• Review Ch 14 - 15: Full version [7 pages] | Short version [3 pages]
• Review Chapter 14 - 15 ANSWERS ONLY (full solutions -- including work -- are posted in class)

Here are the paper notes and corresponding lesson videos for class #25 (the SECOND probability lesson, W/Th Nov 4/5).

• Notes: 15 Notes - Conditional Probability BLANK | (filled-out version)
• Video (1 of 3): Notations, Basic Formulas, Venn Diagram (The Dorm Room Problem)
• Video (2 of 3): 2-Way Tables (The First Lady Problem)
• Video (3 of 3): Tree Diagrams (The Binge Drinking Problem)

If you missed class (or just want to go over the lesson again), here are the notes AND video1 for the first probability lesson:

• 14 Notes - Probability (Print this out and follow along... make sure you have a calculator.)
• Video #1: 14 Probability - Law of Large Numbers, With & Without Replacement (6m 08s)
• Video #2: 14 Probability - Rolling Pigs (not, and, or, etc) (8m 23s)

A couple of notes: The videos only cover the first page of the printed notes - the rest is additional practice. Also, the M&M's example is NOT on the paper.

1. Yes, lesson videos. A lot of time was spent putting these videos together!... but don't make fun of my voice. [↩]

The last major exam of the 2nd six weeks is scheduled for Th/F, Oct 29/30.

Chapter 7-9 (Scatterplots) Test Review:

• Short Version (3 pages) | Full Version (6 pages)
• Review Chapter 7 - 9 KEY

Major topics for class #21 (F/M, Oct 23/26):

1. Extrapolation (trying to make predictions outside of the model)
2. Influential points and outliers
3. Computer printouts

For items 1 and 2, look through slides 13-23 of the following powerpoint:

• 8+9 Notes - Linear Regression [WEB]

For item 3, here are the notes/HW for computer printouts. Page 188 in the textbook has a nice quick explanation for how to get slope and intercept from these. Problems 1 and 2 are done as examples, so finish #3 and #4 accordingly.

• 8 Worksheet - Computer Output NOTES

And if you lost the sheet with all of the interpretations for regressions, here it is:

• 8 Notes - Regression Notes