Statistics: Learning from Data (AP Edition) 2nd edition

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Roxy Peck and Tom Short
Publisher: Cengage Learning

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  • Peck Statistics: Learning From Data (AP® Edition) 2e: FT5 AP® Review and Practice Tests
  • Peck Statistics: Learning From Data (AP® Edition) 2e: AP® Review
  • Peck Statistics: Learning From Data (AP® Edition) 2e

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  • Chapter 1: Collecting Data In Reasonable Ways
    • 1.1: Statistics—It's All About Variability
    • 1.2: Statistical Studies: Observation and Experimentation (9)
    • 1.3: Collecting Data: Planning an Observational Study (12)
    • 1.4: Collecting Data—Planning an Experiment (18)
    • 1.5: The Importance of Random Selection and Random Assignment: What Types of Conclusions are Reasonable? (8)
    • 1.6: Avoid These Common Mistakes
    • 1: Review Exercises (9)
    • 1: AP® Review Questions (16)

  • Chapter 2: Graphical Methods for Describing Data Distributions
    • 2.1: Selecting an Appropriate Graphical Display (10)
    • 2.2: Displaying Categorical Data: Bar Charts and Comparative Bar Charts (6)
    • 2.3: Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms (12)
    • 2.4: Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots (8)
    • 2.5: Graphical Displays in the Media (6)
    • 2.6: Avoid These Common Mistakes
    • 2: Review Exercises (7)
    • 2: AP® Review Questions (18)
    • 2: JMP Simulations (9)

  • Chapter 3: Numerical Methods for Describing Data Distributions
    • 3.1: Selecting Appropriate Numerical Summaries (7)
    • 3.2: Describing Center and Variability for Data Distributions That Are Approximately Symmetric (10)
    • 3.3: Describing Center and Variability for Data Distributions That Are Skewed or Have Outliers (12)
    • 3.4: Summarizing a Data Set: Boxplots (9)
    • 3.5: Measures of Relative Standing: z-scores and Percentiles (12)
    • 3.6: Avoid These Common Mistakes
    • 3: Review Exercises (8)
    • 3: AP® Review Questions (16)
    • 3: JMP Simulations (16)

  • Chapter 4: Describing Bivariate Numerical Data
    • 4.1: Correlation (10)
    • 4.2: Linear Regression: Fitting a Line to Bivariate Data (9)
    • 4.3: Assessing the Fit of a Line (11)
    • 4.4: Describing Linear Relationships and Making Predictions—Putting It All Together
    • 4.5: Modeling Nonlinear Relationships (7)
    • 4.6: Avoid These Common Mistakes
    • 4: Review Exercises (9)
    • 4: AP® Review Questions (17)
    • 4: JMP Simulations (14)

  • Chapter 5: Probability
    • 5.1: Interpreting Probabilities (8)
    • 5.2: Calculating Probabilities (8)
    • 5.3: Probabilities of More Complex Events: Unions, Intersections, and Complements (12)
    • 5.4: Conditional Probability (10)
    • 5.5: Calculating Probabilities—A More Formal Approach (Optional) (12)
    • 5.6: Probability as a Basis for Making Decisions
    • 5.7: Estimating Probabilities Empirically and Using Simulation (Optional) (5)
    • 5: Review Exercises (7)
    • 5: AP® Review Questions (17)

  • Chapter 6: Random Variables and Probability Distributions
    • 6.1: Random Variables (6)
    • 6.2: Probability Distributions for Discrete Random Variables (8)
    • 6.3: Probability Distributions for Continuous Random Variables (11)
    • 6.4: The Mean and Standard Deviation of a Random Variable (11)
    • 6.5: Normal Distributions (17)
    • 6.6: Checking for Normality (4)
    • 6.7: Binomial and Geometric Distributions (17)
    • 6.8: Using the Normal Distribution to Approximate a Discrete Distribution (7)
    • 6: Review Exercises (9)
    • 6: AP® Review Questions (17)

  • Chapter 7: An Overview of Statistical Inference—Learning from Data
    • 7.1: Statistical Inference—What You Can Learn From Data (8)
    • 7.2: Selecting an Appropriate Method—Four Key Questions (11)
    • 7.3: A Five-Step Process for Statistical Inference
    • 7: Review Exercises (8)
    • 7: AP® Review Questions (10)

  • Chapter 8: Sampling Variability and Sampling Distributions
    • 8.1: Statistics and Sampling Variability (7)
    • 8.2: The Sampling Distribution of a Sample Proportion (8)
    • 8.3: How Sampling Distributions Support Learning from Data (7)
    • 8: Review Exercises (6)
    • 8: AP® Review Questions (11)

  • Chapter 9: Estimating a Population Proportion
    • 9.1: Selecting an Estimator (7)
    • 9.2: Estimating a Population Proportion—Margin of Error (12)
    • 9.3: A Large-Sample Confidence Interval for a Population Proportion (20)
    • 9.4: Choosing a Sample Size to Achieve a Desired Margin of Error (6)
    • 9.5: Avoid These Common Mistakes
    • 9: Review Exercises (8)
    • 9: AP® Review Questions (11)

  • Chapter 10: Asking and Answering Questions About a Population Proportion
    • 10.1: Hypotheses and Possible Conclusions (8)
    • 10.2: Potential Errors in Hypothesis Testing (8)
    • 10.3: The Logic of Hypothesis Testing—An Informal Example (4)
    • 10.4: A Procedure for Carrying Out a Hypothesis Test (5)
    • 10.5: Large-Sample Hypothesis Tests for a Population Proportion (20)
    • 10.6: Power and the Probability of Type II Error (8)
    • 10.7: Avoid These Common Mistakes
    • 10: Review Exercises (10)
    • 10: AP® Review Questions (11)

  • Chapter 11: Asking and Answering Questions About the Difference Between Two Population Proportions
    • 11.1: Estimating the Difference Between Two Population Proportions (9)
    • 11.2: Testing Hypotheses About the Difference Between Two Population Proportions (8)
    • 11.3: Inference for Two Proportions Using Data from an Experiment (10)
    • 11.4: Avoid These Common Mistakes
    • 11: Review Exercises (4)
    • 11: AP® Review Questions (12)

  • Chapter 12: Asking and Answering Questions About a Population Mean
    • 12.1: The Sampling Distribution of the Sample Mean (14)
    • 12.2: A Confidence Interval for a Population Mean (16)
    • 12.3: Testing Hypotheses About a Population Mean (14)
    • 12.4: Avoid These Common Mistakes
    • 12: Review Exercises (7)
    • 12: AP® Review Questions (23)
    • 12: JMP Simulations (22)

  • Chapter 13: Asking and Answering Questions About the Difference Between Two Means
    • 13.1: Two Samples: Paired versus Independent Samples (2)
    • 13.2: Learning About a Difference in Population Means Using Paired Samples (20)
    • 13.3: Learning About a Difference in Population Means Using Independent Samples (20)
    • 13.4: Inference for Two Means Using Data from an Experiment (18)
    • 13.5: Avoid These Common Mistakes
    • 13: Review Exercises (9)
    • 13: AP® Review Questions (16)
    • 13: JMP Simulations (20)

  • Chapter 14: Learning from Categorical Data
    • 14.1: Chi-Square Tests for Univariate Categorical Data (16)
    • 14.2: Tests for Homogeneity and Independence in a Two-Way Table (14)
    • 14.3: Avoid These Common Mistakes
    • 14: Review Exercises (7)
    • 14: AP® Review Questions (17)
    • 14: JMP Simulations (6)

  • Chapter 15: Understanding Relationships—Numerical Data
    • 15.1: The Simple Linear Regression Model (11)
    • 15.2: Inferences Concerning the Slope of the Population Regression Line (11)
    • 15.3: Checking Model Adequacy (9)
    • 15: Review Exercises (3)
    • 15: AP® Review Questions (17)

  • Chapter FT5: Fast Track to a 5: Preparing for the AP® Statistics Examination
    • FT5.DT: A Diagnostic Test (44)
    • FT5.1: Graphical Methods for Describing Data (17)
    • FT5.2: Numerical Methods for Describing Data (17)
    • FT5.3: Summarizing Bivariate Data (17)
    • FT5.4: Collecting Data Sensibly (17)
    • FT5.5: Probability (17)
    • FT5.6: Random Variables and Probability Distributions (17)
    • FT5.7: Sampling Variability and Sampling Distributions (17)
    • FT5.8: Estimating Using a Single Sample (17)
    • FT5.9: Hypothesis Testing Using a Simple Sample (17)
    • FT5.10: Comparing Two Populations or Treatments (17)
    • FT5.11: The Analysis of Categorical Data and Goodness-of-Fit Tests (17)
    • FT5.12: Inference for Linear Regression and Correlation (17)
    • FT5.T1: Practice Test I (45)
    • FT5.T2: Practice Test II (45)


Statistics: Learning From Data (AP® Edition), 2nd edition, by Roxy Peck and Tom Short, addresses common problems faced by students and instructors with an innovative approach to elementary statistics. The organization by Learning Objective, focus on real-data examples, and adherence to the Guidelines for Assessment and Instruction in Statistics Education (GAISE), help students learn to think like statisticians. The AP® edition includes exam tips throughout the text along with sections designated to address common errors on the AP® exam.

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Question Group Key
FT5 - Fast Track to a Five
AP - AP Exam Practice
MI - Master It
MI.SA - Stand Alone Master It
JMP - Simulation Question by JMP
R - Chapter Review Exercise


Question Availability Color Key
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GRAY questions are under development


Group Quantity Questions
Chapter FT5: Fast Track to a 5: Preparing for the AP® Statistics Examination
FT5.DT 44 FR.001 FR.002 FR.003 FR.004 FR.005 FR.006 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022-024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040
FT5.T1 45 FR.001 FR.002 FR.003 FR.004 FR.005 FR.006 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040
FT5.T2 45 FR.001 FR.002 FR.003 FR.004 FR.005 FR.006 001 002 003 004 005 006 007 008 009 010 011 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040
FT5.1 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.2 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.3 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.4 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.5 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.6 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.7 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.8 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.9 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.10 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.11 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
FT5.12 17 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
Chapter 1: Collecting Data In Reasonable Ways
1.AP 16 FR.001 FR.002 001 002 003 004 005 006 007 008 009 010 011 012 013 014
1.E 47 002 003 004 006 007 008 010 012 013 015 018 019 020 021 023 025 026 027 028 030 033 035 036 037 039 041 042 044 045 046 047 049 050 051 053 054 056 057 058 059 060 063 069 070 071 072 073
1.R 9 074 076 079 080 082 083 084 088 090
Chapter 2: Graphical Methods for Describing Data Distributions
2.AP 18 FR.003 FR.004 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
2.E 42 001 002 003 005 007 009 010 011 012 014 016.MI 016.MI.SA 017 018.MI 018.MI.SA 020 024 025 026 027 028 030 031 032 037 038 039 040 044 045 046 047 048 049 051 053 055 056 058 060 061 063
2.JMP 9 001 002 003 004 005 006 007 008 009
2.R 7 064 065 067 069 070 073 076
Chapter 3: Numerical Methods for Describing Data Distributions
3.AP 16 FR.005 FR.006 001 002 003 004 005 006 007 008 009 010 011 012 013 014
3.E 50 001 003 004 005 007 010 011 012.MI 012.MI.SA 013.MI 013.MI.SA 014 015 017.MI 017.MI.SA 018 021 025 026.MI 026.MI.SA 028 029 030.MI 030.MI.SA 031.MI 031.MI.SA 032 033 035 036 037 039 041.MI 041.MI.SA 043 044 045 048 050.MI 050.MI.SA 051 054 055.MI 055.MI.SA 057 058.MI 058.MI.SA 059.MI 059.MI.SA 061
3.JMP 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
3.R 8 062 063 064 065 067 068 069 071
Chapter 4: Describing Bivariate Numerical Data
4.AP 17 FR.007 FR.008 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
4.E 37 001 003 005 009 010 013 014 017 019.MI 019.MI.SA 021 022 024 025 029 031 032 036 037 039 042 044 045 046.MI 046.MI.SA 049 051 053 054 056 057 058 059 060 061 062 063
4.JMP 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
4.R 9 064 065 067 069 074 075 077 078 080
Chapter 5: Probability
5.AP 17 FR.009 FR.010 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
5.E 55 001 003.MI 003.MI.SA 006.MI 006.MI.SA 008 009.MI 009.MI.SA 011 012 014 018.MI 018.MI.SA 019 020.MI 020.MI.SA 022 024.MI 024.MI.SA 026 034.MI 034.MI.SA 036 037.MI 037.MI.SA 038.MI 038.MI.SA 041 043 045 046 048 050.MI 050.MI.SA 052 053.MI 053.MI.SA 055 057 058 059 060.MI 060.MI.SA 062 063 064.MI 064.MI.SA 067.MI 067.MI.SA 068 072.MI 072.MI.SA 073 074 076
5.R 7 082 085 087 088 091 094 095
Chapter 6: Random Variables and Probability Distributions
6.AP 17 FR.011 FR.012 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
6.E 81 001 003 004 006 008 009 010 011 013 015 018.MI 018.MI.SA 019.MI 019.MI.SA 021 022 023.MI 023.MI.SA 024 025 026 027 028 030.MI 030.MI.SA 032 033 035 036 038.MI 038.MI.SA 040 041 042 044.MI 044.MI.SA 045.MI 045.MI.SA 046 048 051.MI 051.MI.SA 052 054.MI 054.MI.SA 055 058.MI 058.MI.SA 059 064.MI 064.MI.SA 065 067 074 075.MI 075.MI.SA 076 078 079.MI 079.MI.SA 081 082 084 085.MI 085.MI.SA 087 088 089.MI 089.MI.SA 091 092 094.MI 094.MI.SA 095 097.MI 097.MI.SA 098 099.MI 099.MI.SA 100 102
6.R 9 105 107 109 110 112 113 115 118 119
Chapter 7: An Overview of Statistical Inference—Learning from Data
7.AP 10 001 002 003 004 005 006 007 008 009 010
7.E 19 002 003 004 006 008 009 011 012 016 017 019 022 023 024 025 026 027 028 029
7.R 8 030 031 032 034 035 037 039 041
Chapter 8: Sampling Variability and Sampling Distributions
8.AP 11 FR.013 001 002 003 004 005 006 007 008 009 010
8.E 22 001 002 003 007 010 013 014 016 017 019.MI 019.MI.SA 022 023 025 028 029 030 031 034 035 038 040
8.R 6 041 042 045 049 050 052
Chapter 9: Estimating a Population Proportion
9.AP 11 FR.014 001 002 003 004 005 006 007 008 009 010
9.E 45 002 004 005 008 010 014 016 017 019 020 022 024.MI 024.MI.SA 025 026 028 031.MI 031.MI.SA 033 034 036 037 038 039 040 042.MI 042.MI.SA 044 046 047 048 049 050 051 053 055 057 058 060 062 064.MI 064.MI.SA 066.MI 066.MI.SA 067
9.R 8 070 071 073 074 076 077 079 082
Chapter 10: Asking and Answering Questions About a Population Proportion
10.AP 11 FR.015 001 002 003 004 005 006 007 008 009 010
10.E 53 002 004 005 006 009 010 014 016 018 019 021 023 025 026 030 031 032 033 035 036 038 039 041.MI 041.MI.SA 042 047 048 049 051.MI 051.MI.SA 052.MI 052.MI.SA 055 056 057 058 061 063 067 069.MI 069.MI.SA 071 073.MI 073.MI.SA 074 075 076 077 078 079 080 081 082
10.R 10 083 084 085 087 089 090 092 094 096 097
Chapter 11: Asking and Answering Questions About the Difference Between Two Population Proportions
11.AP 12 FR.016 001 002 003 004 005 006 007 008 009 010 011
11.E 27 001 002 004.MI 004.MI.SA 005 006.MI 006.MI.SA 009 010 011 013.MI 013.MI.SA 016 018.MI 018.MI.SA 019.MI 019.MI.SA 020 023 024.MI 024.MI.SA 025 027.MI 027.MI.SA 029 031 032
11.R 4 033 035 038 039
Chapter 12: Asking and Answering Questions About a Population Mean
12.AP 23 FR.017 FR.018 FR.019 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
12.E 44 001.MI 001.MI.SA 003 005 006.MI 006.MI.SA 007 008 010.MI 010.MI.SA 014.MI 014.MI.SA 016 018 020 021 022 024 026 027 028 030 031.MI 031.MI.SA 032.MI 032.MI.SA 033 036 038 039 041 042 043 044.MI 044.MI.SA 045 047 049.MI 049.MI.SA 050 051 056 058.MI 058.MI.SA
12.JMP 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
12.R 7 060 061 063 064 066 068 069
Chapter 13: Asking and Answering Questions About the Difference Between Two Means
13.AP 16 FR.020 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
13.E 60 001 002 005.MI 005.MI.SA 007 009 010.MI 010.MI.SA 013 014.MI 014.MI.SA 016 017.MI 017.MI.SA 020 022 026 027.MI 027.MI.SA 029 030.MI 030.MI.SA 032 033 035 036 038.MI 038.MI.SA 040 043 044 046.MI 046.MI.SA 047 048 049 050 053 054 056 057 058 059 060 062.MI 062.MI.SA 063 065 066 068 070 071 072 073 074 075 077.MI 077.MI.SA 078 079
13.JMP 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
13.R 9 081 082 084 085 086 088 089 092 094
Chapter 14: Learning from Categorical Data
14.AP 17 FR.021 FR.022 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
14.E 30 001 002.MI 002.MI.SA 003.MI 003.MI.SA 004 007 008 010 011.MI 011.MI.SA 012 014 015.MI 015.MI.SA 017 019.MI 019.MI.SA 020 021 023 026 032 033.MI 033.MI.SA 034 035.MI 035.MI.SA 036 038
14.JMP 6 001 002 003 004 005 006
14.R 7 040 041 042 044 045 047 048
Chapter 15: Understanding Relationships—Numerical Data
15.AP 17 FR.023 FR.024 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
15.E 31 001 002 003.MI 003.MI.SA 006.MI 006.MI.SA 007 009 010 011.MI 011.MI.SA 013 016 017 018.MI 018.MI.SA 020 021 022 026 027 029 030 031 033 035 037 038 039 040 043
15.R 3 046 047 050
Total 1408