August 6-9, 2012

Location: Palos Verdes Peninsula High School

Register

Statistics

Taught by Wes White

Outline

The AP* Statistics workshop covers the AP* Statistics curriculum as outlined in the blue AP* Stat manual given to all participants. The workshop is intended to serve both the beginning and the experienced AP* Stat teacher. Each participant will receive, along with the AP* College Board* blue manual, a 135-page booklet of ready-to-reproduce lessons and activities (and their answer keys) all written by the presenter. A large portion of time is devoted to going over these lessons, from the theory underlying the ideas to their implementation.

Participants who bring their TI-83, TI-83 Plus or TI-84 graphing calculators will receive ten calculator programs, also written by the presenter, that illustrate important statistical concepts. The aim of these programs--when used by the students themselves--is to make learning statistics a more active and engaging experience. The programs are written especially to scaffold the more difficult ideas for both struggling students and for teachers new to statistics.

Schedule

  • Monday, Day 1
    • Exploring Data
      • Univariate Data Distributions
        • Histograms
        • Box-and-Whisker Plots
        • Features and Summary Measures
      • Bivariate Data Distributions
        • Linear Regressions
        • Non-linear Regressions
  • Tuesday, Day 2
    • Planning a Study
      • Methods of Data Collection
        • Surveys, and Observational Studies
          • Types of Surveys
          • Sources of Bias
        • Experimental Design
          • Randomized
          • Randomized Block
          • Independent vs. Matched Pair
        • Computer Lab: Websites for AP* Statistics
  • Wednesday, Day 3
    • Anticipating Patterns
      • Normal Distribution and the Normal Probability Plot
      • Probability Rules
        • Independent, Disjoint, Complementary, and Implied Events
        • Conditional Probability and Bayes's Rule
        • Rules for Means and Variances
      • Probability Distributions
        • Binomial
        • Geometric
      • Estimating Probabilities by Simulation
  • Thursday, Day 4
    • Sampling Distributions and the Central Limit Theorem
    • Confidence Intervals and Significance Tests for Means
    • Confidence Intervals and Significance Tests for Proportions
      • The Chi-Square Test
        • Goodness-of-Fit
        • Independence and Homogeneity of Proportions
      • Type I, Type II Errors, and Power of a Significance Test
      • Confidence Intervals for Linear Regression Slopes
    • Miscellaneous Topics
    • Evaluations