For class block #8 (Tu/W, Sept 16/17), we finished chapter 13 (matched pairs experiments) and covered chapter 3 (categorical data). Here are the notes and homework worksheets for class #8:

• Student Notes Class #8 - Matched Pairs and Categorical Data (Powerpoint Slides)
• 13 Worksheet - Shampoo (This is over matched pairs. We did part "a" together in class... finish the rest on your own for HW)
• 3 Worksheet - HW#8 Graphical Displays with Categorical Data (this is the rest of the HW)

Here are the PowerPoint slides from class on F/M (Sept 12/15) covering experimental design:

• 13 Notes - Experiments and Observational Studies (Block #7 WEB)

About those counting ants...

If you wish to read a bit more about the ants that count -- including seeing a picture of a couple of the actual ants -- here's a link:

• NPR Blog: Ants That Count

For HW#6, just do problems 1(a-e) and 4(a-e) -- skip #11 and 18.

This does require you to read the first few pages of Chapter 13. If you don't have a textbook, here are those pages:1

• AP Stat Ch13 Intro Reading

1. these are taken from a newer edition of the textbook, so the page numbers are slightly different, although the content is the same [↩]

Our first major exam of the year is coming up on W/Th, Sept 10/11. 40% of the exam will consist of multiple choice, and 60% will consist of free-response questions.

Here is the test review for the first unit (randomness, sampling, and bias). You may check solutions in class during tutorials.

• Review Chapter 11 - 12 (short version) | Full Version (4 pages)

(The "short version" is what was distributed in class -- one sheet of paper, front and back. The "full version" has room to answer each question, but takes 4 sheets of paper. This is available for you to print out on your own, if you wish.)

Here are the notes for both classes during the week of Sept 2 - 5:

• 12 Notes - Sampling (class #3) (this class covered terms such as "population of interest", "parameter of interest", "sampling frame", and the symbols mu / x-bar / p / p-hat)
• 12 Notes - Bias (class #4) (this slideshow covers the different forms of bias and includes the examples from class)