• Course: Statistics (Experienced)
  • Dates: June 21-24
  • Instructor: Landy Godbold, The Westminster Schools, Atlanta, GA, email - l.godbold@comap.com - Participant Letter

  • Landy received BS and MS degrees in Applied Mathematics from Georgia Tech and has taught 35 years at The Westminster Schools in Atlanta, including courses in statistics for over 30 of those years (at the AP level since 1995). In 1984 he was one of the first fifty participants in the Woodrow Wilson Summer Institutes in mathematics at Princeton (that year the topic was Statistics) and returned during the summers of 1988-1993 to serve as Computer Director for that program. He served two three-year terms as an NCTM appointee to the ASA-NCTM Joint Committee on Curriculum in Statistics and Probability, serving his final two years as chair. He began as an AP reader of Statistics exams in 1997, and has six years experience as a table leader. He is a co-author of NCTM’s Navigations in Data Analysis. Honors include Westminster’s Alex P. Gaines professorship and Alumni Fellow for Distinguished Teaching and the national Presidential, Radio Shack National Teacher, and MAA Edyth May Sliffe awards. Apart from statistics, Landy enjoys his family, music, table tennis, and good red wine.

  • Included:
    • Materials (Textbooks, Assessment Resources)
    • Lunch & Snacks
  • Emphasis: Variability
    • Univariate data analysis: Looking deeply at “simple” ideas.
    • Experimental design: The when, why, and how of blocking and stratification.
    • Independence: What it means and how to check it among events, random variables, and trials.
    • Probability: Understanding and applying relations among random variables.
    • Sampling distributions and the logic of inference.
    • Bivariate data analysis and inference: Simulations and algebra to enlighten.
    • Appropriate Use of Technology (TI-84, Fathom, JMP, Activstats, Minitab).
    • Projects: Ideas related to writing and scoring.
    • Scoring AP exams/simulated reading
    • Participant presentations