Wes White's Active Math
In the Fall of 2010, I was able to attend an AP conference at McQueen H.S. Wes White was the presenter for the Statistics seminar, and he gave us photocopies of some of the materials he has created over the years.
Wes is a statistics teacher at Alhambra H.S. in Alhambra, CA.
I asked if I could post his materials, and he graciously gave permission. What you find on this page is copyright of Wes White, and is marked as such on the pages. All pages are in the PDF format, and have answer keys attached.
Where should we locate the new office building? [topics are using mean or median, critical thinking]
What does the coefficient of determination, R-squared, tell us? [informative and highly explanative for the learners!]
Sampling Method: biased or unbiased? [topic is bias in sampling methods]
Will the test be effective in identifying terrorists? [topic is Bayes thm]
P-values and statistical significance
Notes for learners includes
- Which significance test should I use?
- Framework for a free response answer
- AP Statistics Exam: Structure and Scoring
- Assumptions for intervals & tests
The TI-83 distributions (I updated this for the Nspire)
AP Statistics: Formulas and explanations
AP Exam tips for teachersIn addition to these pages, Wes has created many TI83 applications. I do not have copies of them, but he demonsrated them during the seminar. I just wish I had an 83/84 to get them at the time!
I also found another page a teacher had posted.
TI Apps at education.ti.com
Statistics Terms (2004)
Survey & Survey Design (2004)
Inferences of the Least Squares Regression (2004)
Assumptions & Conditions for Sig/Hyp (2004)
Binomial Distribution (2004)
Sig / Hyp tests for means (2004)
Logic of Sig / Hyp tests (2004)
These apps require Learning Check for the 83/84
Publications by Wes White
"Connecting Independence and the Chi-Square Statistic"
Wes White (2001), Mathematics Teacher, 94(2), 134-136.
The article helps students discover the concept of independence as it relates to a two-way table and the chi-square statistic. The example the author provides is a basketball team's performance at home vs. away.