TUESDAY, AUG. 2
Unit 1 Exploring One–Variable Data
1) Baseball Salaries: Do You Get What You Pay For? Page 1
2) Where Should We Locate the Office Building? Page 12
3) Ages of California’s Three–Strikes Prisoner: A Normal Distribution Page 20
Unit 2 Exploring Two–Variable Data
4) Do Heavier Cars Use More Gasoline? A Linear Regression Page 25
5) Demystifying the Correlation Coefficient Formula Page 29
6) What Does the Coefficient of Determination r2 Tell Us? Page 34
WEDNESDAY, AUG. 3
Unit 3 Collecting Data
8) Two Sampling Methods: Biased or Unbiased? Page 60
9) How Does Stratifying Improve on a Simple Random Sample? Page 66
Unit 4 Probability, Random Variables
11) Rules and Definitions of Probability Page 80
12) Are Altitude and Precipitation Independent? Page 81
13) Will the Test Be Effective in Identifying Terrorists? Page 87
14) Means and Variances of a Random Variable Page 93
THURSDAY, AUG. 4
Unit 4 Probability, Random Variables (continued)
15) Performing and Explaining a Simulation: Is the Company Biased Against its Left–Handed Employees? Page 103
16) Which Driver Will Have Jumper Cables So You Can Start Your Car? Page 117
Unit 5 Sampling Distributions
17) Online sampling simulations
Unit 6 Inference for Categorical Data
Potential Errors When Performing Tests
19) Power, Type I, and Type II Errors in Significance Tests Page 130
21) Should the Bank Hire the Agency? Page 141
Unit 7 Inference for Quantitative Data: Means
18) How Much TV Do College Students Watch? Page 124
FRIDAY, AUG. 5
AP Classroom
Unit 8 Inference for Categorical Data: Chi–Square
22) Goodness–of–Fit and Independence Page 145
Unit 9 Inference for Quantitative Data: Slopes
23) Predicting a Final Exam Score Based on the Last Test Score Page 158
24) The Linear Regression t–Test Page 164
Evaluations, Summary and Wrap–Up
