Textbook
  Home Page
  Quizzes
  EESEE Data

Assignments
  Syllabus
  Chapter 1
  Whitaker Peak
  Sampling from Normal
  Disk Game
  Chapter 2
  Chapter 3
  Chapter 4
  Chapter 5
  

Plots
  Stem Plot
  Histogram

Programming
  Basic HTML
  Mean/Med Question
  Mean/Med Solution
  Binomial Probabilities
  Java reference
  Javascript reference

Mean/SD
  Compute
  Confidence
  Estimating

Correlation
  Type It
  Click It
  Guess It
  Rotation Experiment
  Least Squares Demo
  Scatter/Regression Plot Calc
  S/R File Plot
  

Inferential
  Chi Square

Fr. Chris' Tests
  Descriptive Stats 1
  Descriptive Stats 2
  2 Variable Stats
  Experimental Design
  Normal Distributions
  Probability
  Confidence Intervals
  Current Grades

Students' Work
  1997-1998
  1999-2000

Resources
  35 Objective Question Practice
  Purdue Practice Exams
  Georgia State Practice Exams
  Yates' Quizzes
  HyperStat at Rice U
  University of Florida Stat
  BB&N AP Stat Page
  Herkimer's AP Stat Page
  Daren Starnes' AP Stat Page
  Math Forum at Swarthmore
  ticalc
  ti-files
  ti link
  Java reference
  Javascript reference

Data
  Paper Frog Jumping Contest 2000
  Pennies in Circulation: 1999
  Pennies in Circulation: 1997
  EESEE Data (Ohio-State)
  Bureau of the U.S.Census Data
  US Counties Info
  Chance Database
  US Dept of Education Stats
  Credit for AP Stat Exam by State


AP Statistics Resources

Advanced Placement Statistics acquaints students with the major concepts and tools for collecting, analyzing, and drawing conclusions from data. The course will have a data-driven framework that will require students to work on projects involving hands-on gathering and analysis of real world data, making full use of the information available on the Internet. Computers and calculators will allow students to focus deeply on the key concepts involved in statistics in order to prepare students for the Advanced Placement Examination in Statistics administered by ETS for the College Board

Prerequisites: Completion of Algebra II.

Four Broad Conceptual Themes

  1. Exploring Data: Observing Patterns and departures from patterns
  2. Planning a Study: Deciding what and how to measure
  3. Anticipating Patterns: Producing models using probability and simulation
  4. Statistical Inference: Confirming models.

Handy TI Calc programs

TI86 Program that does 83 Stuff!

2000-2001 Student's Pages