Th 2/1/01

Test Redux (since Wednesday’s test was spoiled by a fire drill). However, let’s make lemons out of lemonade: You can study the actual 1/31 test as a practice test. The Thursday test will be slightly longer but of comparable difficulty. There is no guarantee that the coverage of areas for which you are responsible will be the same. Remember, your test covers §7.2, §8.1, §8.2, and experimental design (blocking, blinding, control, randomization, matched pairs, etc.).

F 2/2/01

No HW due today. In class: Sampling distributions.

M 2/5/01

HW due before class today: Read §9.1.

T 2/6/01

Mini-Quiz on §9.1.

W 2/7/01

HW due before class today: Read §9.2.

Th 2/8/01

Mini-Quiz on §9.2.

F 2/9/01

HW due by Monday: Read §9.3. Guest Speaker: Mr. Steve Brobeck, director of the Consumer Federation of America, will speak on the use of statistics in public policy. Please attend if you possibly can. We will have a short in-class essay Monday based on today’s talk.

M 2/12/01

HW due before class today: Read §9.3.

During class: Essay and discussion based on Friday’s guest speaker presentation.

Be sure to check out the sample questions and answers for the mastery mini-quiz.

T 2/13/01

Mastery Mini-Quiz on §§9.1 and 9.2, plus practice worksheet on §9.3.

W 2/14/01

HW due today: §9.3 worksheet. In class: Mini-Quiz on §9.3.

Th 2/15/01

Today is an individual help day. Attendance is required unless you were one of the people who received an e-mail message from me granting you a Day of Rest. To repeat, "no message received" means attendance is required. Anyone who says, "Mr. Hansen, I didn’t receive a message, so I assumed I had a Day of Rest," will receive the Sound of Annoyance and will be charged with a cut.

If you cannot check your STA e-mail, please send me a message telling me the address at which you wish to be contacted. I do not have a consolidated record of the many e-mail addresses people have used in the past to contact me.

F 2/16/01

Guest speaker: Mr. Tom Lott will discuss noncorrelated investments as a way of boosting risk-adjusted yield for pension funds, endowments, and other large fund pools. English translation: You may be able to make a lot of money if you understand this talk.

Also, start gathering data for Group Project #3. All groups are approved to begin. Be sure to use your release forms to obtain permission from your subjects.

M 2/19/01

No school.

T 2/20/01

HW due today: Visit the Sampling Distribution Simulation and Normal Approximation to the Binomial Distribution Java applets on the RVLS server. Both of these are near the top of the list in the right-hand window. (Note: D period has already done this.)

During class: Essay and discussion based on Friday’s guest speaker presentation.

W 2/21/01

HW due today: Read §10.1. Also, try to answer the question posed in class: How large an SRS is required to have a m.o.e. of less than 0.5% in a close election involving two candidates? (Assume that 95% confidence is desired.)

Th 2/22/01

HW due today: Read §10.1 a second time. This time, try to use the classroom discussion to build on your understanding. It would be a good idea to make a list of questions from your Islands of Uncertainty.

F 2/23/01

HW due today: Read first half of §10.2 (pp.531-543).

D period only: Quiz on problem 10.5, which we were in the process of covering when class ended early on Thursday 2/22.

M 2/26/01

HW due today: Read pp.531-543 a second time.

Note: D period meets in Room S as usual. F period meets today in Room T (Computer Lab).

Also due today: Data Review for Group Project #3. Group leaders will submit raw data and release forms at end of class. An oral status review will provide an opportunity to discuss themes and organization of the final report. It is acceptable if the raw data are not yet complete. Leaders: If you are absent today, you must appoint a deputy to conduct the data review in your absence.

T 2/27/01

HW due today: Read second half of §10.2 (pp.554-557). Also: Data review (F period).

W 2/28/01

HW due today: Read §10.3. This is, in my opinion, the most important section in the textbook. Also: Data review (D period).