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)

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

Here is the review for the test, which is scheduled for Th/Fri, October 30/31:

• Review Ch 7-9: Short Version (3 pages) | Full Version (6 pages)
• Solutions may be checked in class

Here is the "Computer Printouts" worksheet for HW #21 (due on Tu/W, Oct 28/29). Problems 1 and 2 are done as examples, so finish #3 and #4 accordingly.

• 8 Worksheet - Computer Output NOTES

In addition, here are the regression notes and slides:

• 8 Notes - Regression Notes
• 8+9 Notes - Linear Regression [2014-15 WEB]

Here are the slides from class #19 (Chapter 7, scatterplots), along with links to the computer activity for correlation coefficient.

• Notes/Powerpoint: 7 Notes - Scatterplots STUDENT

For the correlation computer activity, here are the 3 sites for the correlation half-worksheet.

1. Johnson and Kuby ACK! This one's not working... SKIP "Johnson and Kuby"
2. WH Freeman
3. Rossman Chance

And here is the half-sheet worksheet:

• 7 Worksheet - Correlation Applets.pdf
  *if you print this out, you will get 2 half-sheets - you only need one half!

Finally, here's a humorous read about correlation and causation (or lack thereof):

• 7 Reasons why you shouldn't confuse correlation with causation1

1. Of course, you should know not to mis-use the word correlation: unless both variables are numerical and the relationship between them is LINEAR, use the more general word "association". [↩]

The next test is on Th/F, Oct 16/17. Here is the review for the exam:

• Review Ch 5-6: Condensed Version (3 pages) | Long Version (6 pages)