Statistics: Learning from Data 3rd edition

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Roxy Peck and Catherine Case
Publisher: Cengage Learning

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  • Peck Statistics: Learning from Data 3e

Access is contingent on use of this textbook in the instructor's classroom.

  • Chapter 1: Collecting Data In Reasonable Ways
    • 1: Concept Explorations (6)
    • 1.1: Statistics—It's All About Variability
    • 1.2: Statistical Studies: Observation and Experimentation (13)
    • 1.3: Collecting Data: Planning an Observational Study (14)
    • 1.4: Collecting Data—Planning an Experiment (14)
    • 1.5: The Importance of Random Selection and Random Assignment: What Types of Conclusions are Reasonable? (16)
    • 1.6: Avoid These Common Mistakes
    • 1: Review Exercises (11)
    • 1: Labs (6)
    • 1: Test Bank

  • Chapter 2: Graphical Methods for Describing Data Distributions
    • 2: Concept Explorations (3)
    • 2.1: Selecting an Appropriate Graphical Display (10)
    • 2.2: Displaying Categorical Data: Bar Charts and Comparative Bar Charts (9)
    • 2.3: Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms (23)
    • 2.4: Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots (10)
    • 2.5: Graphical Displays in the Media (11)
    • 2.6: Avoid These Common Mistakes (13)
    • 2: Review Exercises (8)
    • 2: JMP Simulations (9)
    • 2: Labs (5)
    • 2: Test Bank

  • Chapter 3: Numerical Methods for Describing Data Distributions
    • 3: Concept Explorations (5)
    • 3.1: Selecting Appropriate Numerical Summaries (19)
    • 3.2: Describing Center and Variability for Data Distributions That Are Approximately Symmetric (19)
    • 3.3: Describing Center and Variability for Data Distributions That Are Skewed or Have Outliers (17)
    • 3.4: Summarizing a Data Set: Boxplots (16)
    • 3.5: Measures of Relative Standing: z-scores and Percentiles (15)
    • 3.6: Avoid These Common Mistakes
    • 3: Review Exercises (13)
    • 3: JMP Simulations (11)
    • 3: Labs (6)
    • 3: Test Bank

  • Chapter 4: Describing Bivariate Numerical Data
    • 4: Concept Explorations (4)
    • 4.1: Correlation (16)
    • 4.2: Linear Regression: Fitting a Line to Bivariate Data (14)
    • 4.3: Assessing the Fit of a Line (18)
    • 4.4: Describing Linear Relationships and Making Predictions—Putting It All Together
    • 4.5: Avoid These Common Mistakes
    • 4: Review Exercises (9)
    • 4: Online Exercises (3)
    • 4: JMP Simulations (13)
    • 4: Labs (6)
    • 4: Test Bank

  • Chapter 5: Probability
    • 5: Concept Explorations (5)
    • 5.1: Interpreting Probabilities (9)
    • 5.2: Calculating Probabilities (10)
    • 5.3: Probabilities of More Complex Events: Unions, Intersections, and Complements (14)
    • 5.4: Conditional Probability (12)
    • 5.5: Calculating Probabilities—A More Formal Approach (Optional) (11)
    • 5.6: Probability as a Basis for Making Decisions (2)
    • 5.7: Estimating Probabilities Empirically and Using Simulation (Optional) (5)
    • 5: Review Exercises (8)
    • 5: Labs (5)
    • 5: Test Bank

  • Chapter 6: Random Variables and Probability Distributions
    • 6: Concept Explorations (11)
    • 6.1: Random Variables (7)
    • 6.2: Probability Distributions for Discrete Random Variables (8)
    • 6.3: Probability Distributions for Continuous Random Variables (13)
    • 6.4: Mean and Standard Deviation of a Random Variable (7)
    • 6.5: Normal Distributions (22)
    • 6.6: Checking for Normality (5)
    • 6.7: Binomial and Geometric Distributions (Optional) (26)
    • 6.8: Using the Normal Distribution to Approximate a Discrete Distribution (Optional) (8)
    • 6: Review Exercises (8)
    • 6: Online Exercises (8)
    • 6: Labs (10)
    • 6: Test Bank

  • Chapter 7: An Overview of Statistical Inference—Learning from Data
    • 7: Concept Explorations (4)
    • 7.1: Statistical Inference—What You Can Learn From Data (10)
    • 7.2: Selecting an Appropriate Method—Four Key Questions (14)
    • 7.3: A Five-Step Process for Statistical Inference
    • 7: Review Exercises (8)
    • 7: Test Bank

  • Chapter 8: Sampling Variability and Sampling Distributions
    • 8: Concept Explorations (3)
    • 8.1: Statistics and Sampling Variability (7)
    • 8.2: The Sampling Distribution of a Sample Proportion (11)
    • 8.3: How Sampling Distributions Support Learning from Data (14)
    • 8: Review Exercises (9)
    • 8: Labs (6)

  • Chapter 9: Estimating a Population Proportion
    • 9: Concept Explorations (6)
    • 9.1: Selecting an Estimator (8)
    • 9.2: Estimating a Population Proportion—Margin of Error (18)
    • 9.3: A Large-Sample Confidence Interval for a Population Proportion (26)
    • 9.4: Choosing a Sample Size to Achieve a Desired Margin of Error (8)
    • 9.5: Bootstrap Confidence Intervals for a Population Proportion (Optional) (6)
    • 9.6: Avoid These Common Mistakes
    • 9: Review Exercises (12)
    • 9: JMP Simulations (4)
    • 9: Labs (6)

  • Chapter 10: Asking and Answering Questions About a Population Proportion
    • 10: Concept Explorations (3)
    • 10.1: Hypotheses and Possible Conclusions (11)
    • 10.2: Potential Errors in Hypothesis Testing (11)
    • 10.3: The Logic of Hypothesis Testing—An Informal Example (5)
    • 10.4: A Procedure for Carrying Out a Hypothesis Test (5)
    • 10.5: Large-Sample Hypothesis Tests for a Population Proportion (32)
    • 10.6: Randomization Tests and Exact Binomial Tests for One Proportion (Optional) (6)
    • 10.7: Avoid These Common Mistakes
    • 10: Review Exercises (11)
    • 10: JMP Simulations (6)
    • 10: Labs (6)
    • 10: Test Bank

  • Chapter 11: Asking and Answering Questions About the Difference Between Two Population Proportions
    • 11: Concept Explorations (4)
    • 11.1: Estimating the Difference Between Two Population Proportions (16)
    • 11.2: Testing Hypotheses About the Difference Between Two Population Proportions (10)
    • 11.3: Inference for Two Proportions Using Data from an Experiment (14)
    • 11.4: Simulation-Based Inference for Two Proportions (Optional) (6)
    • 11.5: Avoid These Common Mistakes
    • 11: Review Exercises (8)
    • 11: JMP Simulations (4)
    • 11: Labs (6)

  • Chapter 12: Asking and Answering Questions About a Population Mean
    • 12: Concept Explorations (1)
    • 12.1: The Sampling Distribution of the Sample Mean (18)
    • 12.2: A Confidence Interval for a Population Mean (20)
    • 12.3: Testing Hypotheses About a Population Mean (17)
    • 12.4: Simulation-Based Inference for One Mean (Optional) (12)
    • 12.5: Avoid These Common Mistakes
    • 12: Review Exercises (9)
    • 12: JMP Simulations (6)
    • 12: Labs (6)
    • 12: Test Bank

  • Chapter 13: Asking and Answering Questions About the Difference Between Two Means
    • 13: Concept Explorations (1)
    • 13.1: Two Samples: Paired versus Independent Samples (3)
    • 13.2: Learning About a Difference in Population Means Using Paired Samples (30)
    • 13.3: Learning About a Difference in Population Means Using Independent Samples (31)
    • 13.4: Inference for Two Means Using Data from an Experiment (21)
    • 13.5: Simulation-Based Inference for Two Means (Optional) (10)
    • 13.6: Avoid These Common Mistakes
    • 13: Review Exercises (10)
    • 13: JMP Simulations (20)
    • 13: Labs (18)
    • 13: Test Bank

  • Chapter 14: Learning from Categorical Data
    • 14: Concept Explorations (4)
    • 14.1: Chi-Square Tests for Univariate Categorical Data (18)
    • 14.2: Tests for Homogeneity and Independence In a Two-Way Table (18)
    • 14.3: Avoid These Common Mistakes
    • 14: Review Exercises (10)
    • 14: JMP Simulations (6)
    • 14: Labs (6)
    • 14: Test Bank

  • Chapter 15: Understanding Relationships—Numerical Data
    • 15: Concept Explorations (1)
    • 15.1: The Simple Linear Regression Model (13)
    • 15.2: Inferences Concerning the Slope of the Population Regression Line (13)
    • 15.3: Checking Model Adequacy (17)
    • 15: Review Exercises (3)
    • 15: Labs (6)

  • Chapter 16: Asking and Answering Questions About More Than Two Means
    • 16: Concept Explorations (2)
    • 16.1: The Analysis of Variance—Single-Factor ANOVA and the F Test (17)
    • 16.2: Multiple Comparisons (11)
    • 16: Review Exercises (2)
    • 16: JMP Simulations (4)
    • 16: Labs (5)
    • 16: Test Bank

  • Chapter PJT: Project
    • PJT.1: Project


Statistics: Learning From Data, 3rd edition, by Roxy Peck and Catherine Case, published by Cengage Learning, 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.

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Group Quantity Questions
Chapter PJT: Project
PJT.1 4 001 002 003 004
Chapter 1: Collecting Data In Reasonable Ways
1.CE 6 001.CV 001.SIP 002.CV 002.SIP 003.SIP 004.SIP
1.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
1.R 11 061 063 064 066 068 069 072 073 074 501.XP 502.XP
1.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069
1.2 13 001 002 003 004 006 007 008 010 012 013 501.XP 502.XP 503.XP
1.3 14 015 018 019 020 021 023 025 026 027 028 029 501.XP 502.XP 503.XP
1.4 14 030 031 032 034 035 036 037 039 041 042 044 045 501.XP 502.XP
1.5 16 046 047 048 049 050 052 053 054 055 056 057 058 059 060 501.XP 502.XP
Chapter 2: Graphical Methods for Describing Data Distributions
2.CE 3 001.CV 001.SIP 002.CV
2.JMP 9 001 002 003 004 005 006 007 008 009
2.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
2.R 8 073 074 075.S 076 078 079 082 501.XP
2.TB 001 002 003 004 005 006 007 008 010 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 033 034 035 038 039 040 041 044 045 047 049 050 051 053 054 055 056 057 058 062 065 069 070 071 072 073 074 079 080 081 083 084 091 092 093 094 095
2.1 10 001 002 003 005 007 009 010 011 012 014
2.2 9 016.S 017 018.S 020 021.S 501.XP.MI.S 501.XP.MI.S.SA 502.XP.MI.S 502.XP.MI.S.SA
2.3 23 ST.001.S SYS.001.S 024.MI.S 024.MI.S.SA 025 026 027 028 030.S 031 032 033 034.S 036 037 038 039.S 040 041.S 501.XP 502.XP.MI 502.XP.MI.SA 503.XP
2.4 10 042.S 043 044.S 045 047 048.S 050 501.XP 502.XP 503.XP
2.5 11 051 052.S 054 055 056 057 058 059 501.XP 502.XP.S 503.XP
2.6 13 060 061 062 063 064 065 066 067 068 069 070 071 072
Chapter 3: Numerical Methods for Describing Data Distributions
3.CE 3 001.CV 002.CV 003.CV
3.JMP 11 001 002 003 004 005 006 007 008 009 010 011
3.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.R 13 062.S 063.S 064.S 065.S 066.S 067.S 068.S 069.S 071 501.XP.S 502.XP.S 503.XP.S 504.XP.S
3.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 067 068 070 071 072 073 074 075 076 077
3.1 19 001.S 002.S 003 004 005.S 006.S 007 008.S 009.S 010.S 011 501.XP.MI.S 501.XP.MI.S.SA 502.XP.S 503.XP.S 504.XP.S 505.XP 506.XP 507.XP.S
3.2 19 ST.001.S ST.002.S 012 013 014.S 015 016 017 018.S 020.S 021 022.S 501.XP.MI.S 501.XP.MI.S.SA 502.XP.MI.S 502.XP.MI.S.SA 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S
3.3 17 025.S 026.MI.S 026.MI.S.SA 027.S 028 029.S 030.MI.S 030.MI.S.SA 031.S 032.S 033 035.S 501.XP.S 502.XP.S 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S
3.4 16 ST.001.S SYS.001.S 036.S 037.S 039.S 040.S 041.MI.S 041.MI.S.SA 042.S 043.S 044.S 045 048.S 501.XP.S 502.XP.S 503.XP
3.5 15 ST.001.S ST.002.S SYS.001.S 050.MI 050.MI.SA 051 054 055.MI 055.MI.SA 057.S 058.MI 058.MI.SA 059.MI 059.MI.SA 061
Chapter 4: Describing Bivariate Numerical Data
4.CE 3 001.CV 001.SIP 002.CV
4.JMP 13 001 002 003 004 005 006 007 008 009 010 011 012 013
4.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
4.O 3 075 077.S 079.S
4.R 9 057 058 060.S 061 062 066.S 068.S 069 501.XP
4.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 024 025 026 027 028 029 030 031 032 033 034 035 036 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 103
4.1 16 001 003 005.S 007 008 009 010 011 013.S 014.S 017.MI 017.MI.SA 019.MI 019.MI.SA 020 501.XP.S
4.2 14 021 022 024.S 025.MI.S 025.MI.S.SA 029.S 030.S 031.MI.S 031.MI.S.SA 032.S 036 037 501.XP.S 502.XP
4.3 18 038.S 041 042.S 043.S 044.S 045.S 046.MI.S 046.MI.S.SA 049.S 050 051.S 052.S 053.S 054.MI.S 054.MI.S.SA 056 501.XP.MI.S 501.XP.MI.S.SA
Chapter 5: Probability
5.CE 5 001.CV 001.SIP 002.SIP 003.SIP 004.SIP
5.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.R 8 082 085 087 088 091 093 094 095
5.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 066 067 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088
5.1 9 001 003.MI 003.MI.SA 006.MI 006.MI.SA 008 009 501.XP.MI 501.XP.MI.SA
5.2 10 011 012 014 017 018 019 020.MI 020.MI.SA 501.XP.MI 501.XP.MI.SA
5.3 14 022 023 024.MI 024.MI.SA 026 032 034.MI 034.MI.SA 036 037.MI 037.MI.SA 038.MI 038.MI.SA 041
5.4 12 043 045 046 048 050.MI 050.MI.SA 051 052 053.MI 053.MI.SA 055 501.XP
5.5 11 058 059 060.MI 060.MI.SA 062 063 064.MI 064.MI.SA 067.MI 067.MI.SA 068
5.6 2 070 071
5.7 5 072.MI 072.MI.SA 073 074 076
Chapter 6: Random Variables and Probability Distributions
6.CE 7 001.CV 001.SIP 002.CV 002.SIP 003.SIP 004.SIP 005.SIP
6.Lab 10 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS
6.O 8 501.XP 502.XP.MI 502.XP.MI.SA 503.XP.MI 503.XP.MI.SA 504.XP 505.XP 506.XP
6.R 8 101 103 105 106 108 109.S 111.S 114.S
6.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 042 043 044 045 046 047 048 049 054 055 056 057 058 059 060 062 063 064 065 066 067 068 069 070 071 072 073 076 077 078 079 080 081 082 083 084 085 086 087 089 090 091 092 094 095 096 097
6.1 7 001 003 004 006 008.MI 008.MI.SA 009
6.2 8 010 011 013 015 018.MI 018.MI.SA 019.MI 019.MI.SA
6.3 13 021.MI 021.MI.SA 022 023.MI 023.MI.SA 024 025 026 027.MI 027.MI.SA 028 030.MI 030.MI.SA
6.4 7 032 033 036.MI 036.MI.SA 038 040.MI 040.MI.SA
6.5 22 ST.001.S ST.002.S SYS.001.S SYS.002.S 041.MI.S 041.MI.S.SA 042.S 044.S 047.MI.S 047.MI.S.SA 048.S 050.MI.S 050.MI.S.SA 051.S 053 054.MI.S 054.MI.S.SA 055 060.MI.S 060.MI.S.SA 061.S 063.S
6.6 5 068.S 070.S 071.MI.S 072.S 501.XP.S
6.7 26 ST.001.S SYS.001.S 074.S 075.S 077.S 078 080.S 081.S 082.S 083 084 085.MI 085.MI.SA 086 087.S 088 090.MI.S 090.MI.S.SA 091 501.XP.S 502.XP.S 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S 505.XP.MI.S 505.XP.MI.S.SA
6.8 8 093.MI.S 093.MI.S.SA 094.S 095.MI.S 095.MI.S.SA 096.S 098.S 100.S
Chapter 7: An Overview of Statistical Inference—Learning from Data
7.CE 4 001.CV 001.SIP 002.SIP 003.SIP
7.R 8 030 031 032 034 035 037 039 041
7.TB 001 003 004 005 006 007 008 009 010 011 012 015 016 017 018 019 020 021 022 023 024 025 026 027 029 030 031 033 034 035 036 037
7.1 10 001 002 003 004 006 008 009 011 012 501.XP
7.2 14 016 017 019 022 023 024 025 026 027 028 029 501.XP 502.XP 503.XP
Chapter 8: Sampling Variability and Sampling Distributions
8.CE 2 001.CV 001.SIP
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.R 9 041 042 045 049 050 051 052 053.S 501.XP
8.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 029 030 031 032 034 035 036 037 038 039
8.1 7 001 002 003 007 010 013 014
8.2 11 016 017 019.MI 019.MI.SA 021 022 023 025.MI 025.MI.SA 028 501.XP
8.3 14 029 030 031 034 035 038.S 039.S 040 501.XP.S 502.XP 503.XP.MI 503.XP.MI.SA 504.XP.S 505.XP
Chapter 9: Estimating a Population Proportion
9.CE 6 001.CV 001.SIP 002.CV 002.SIP 003.SIP 004.SIP
9.JMP 4 001 002 003 004
9.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
9.R 12 078 079 081 082.S 084.S 085 087 088 089.S 090.S 501.XP 502.XP.S
9.TB 001 002 003 004 005 007 008 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 047 048 049 050 051 052 053 054 055 056 057 058 059 064 065 066 067 068 069 070 071 072 073
9.1 8 002 004 005.MI 005.MI.SA 008 010 014 016
9.2 18 017.MI 017.MI.SA 019 020 022 024.MI.S 024.MI.S.SA 025 026 028 029 031 033 501.XP 501.XP.S 502.XP.S 503.XP.MI 503.XP.MI.SA
9.3 26 034.MI 034.MI.SA 036 037.MI 037.MI.SA 038.MI.S 038.MI.S.SA 039 040.S 042.MI.S 042.MI.S.SA 044 046 047 048.S 049 050.S 051.S 053.S 055.S 057 058.S 060.S 502.XP 503.XP 504.XP.S
9.4 8 062 062.S 064.MI.S 064.MI.S.SA 066.S 067.S 501.XP.MI.S 501.XP.MI.S.SA
9.5 6 069 070.QR 072 074 501.XP 502.XP
Chapter 10: Asking and Answering Questions About a Population Proportion
10.CE 3 001.CV 001.SIP 002.CV
10.JMP 6 001 002 003 004 005 006
10.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
10.R 11 081 082 083 085 087 088.S 089 090 092.S 094.S 501.XP
10.TB 001 002 003 004 005 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 029 030 031 032 033 034 035 038 039 040 041 042 043 044 045 046 047 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067
10.1 11 002 004 005 006 008 009.MI 009.MI.SA 010 014.MI 014.MI.SA 016
10.2 11 018 019 021.MI 021.MI.SA 023 025 026 030 031 501.XP 502.XP
10.3 5 032.S 033.MI.S 033.MI.S.SA 035.S 036.S
10.4 5 038 039 041.MI 041.MI.SA 042
10.5 32 ST.001.S SYS.001.S 047 048 049 051.MI.S 051.MI.S.SA 052.S 053.S 055.S 056.S 057 058 059 061 062.S 063.S 066.S 069.MI.S 069.MI.S.SA 071.S 074.S 501.XP 502.XP 503.XP.MI.S 503.XP.MI.SA 504.XP.S 505.XP 506.XP 507.XP.S 508.XP.MI.S 508.XP.MI.SA
10.6 6 075 076 078 079.S 080 501.XP
Chapter 11: Asking and Answering Questions About the Difference Between Two Population Proportions
11.CE 4 001.CV 001.SIP 002.CV 002.SIP
11.JMP 4 001 002 003 004
11.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
11.R 8 041.S 042.S 043.S 044.S 046.S 047.S 501.XP.S 502.XP.S
11.TB 001 002 003 004 005 006 007 008 009 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 041 042 043 044 045 046 047 048
11.1 16 ST.001.S 001.S 002.S 004.S 005.S 006.MI.S 006.MI.S.SA 007.S 008.S 009.S 010.S 501.XP.S 502.XP.S 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S
11.2 10 011 013.S 015.S 016 017.S 018.S 019.MI.S 019.MI.S.SA 501.XP.MI.S 501.XP.MI.S.SA
11.3 14 020.S 023.S 024.MI.S 024.MI.S.SA 025.S 027.MI.S 027.MI.S.SA 028.S 029.S 030 032 501.XP.S 502.XP.S 503.XP
11.4 6 033 035.MI 035.MI.SA 036 039.S 040.S
Chapter 12: Asking and Answering Questions About a Population Mean
12.CE 1 001.SIP
12.JMP 6 001 002 003 004 005 006
12.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
12.R 9 068.S 069 070 071 072 073.S 074.S 076.S 077.S
12.TB 001 002 003 004 005 006 007 008 009 010 012 013 014 015 017 018 019 020 021 024 025 026 027 029 030 031 032 033 035 036 045 046 051 052 053 054 055 056 057 058
12.1 18 SYS.001.S SYS.002.S 001.MI 001.MI.SA 003 005 006.MI 006.MI.SA 007 008 010.MI.S 010.MI.S.SA 014.MI.S 014.MI.S.SA 016.S 018.S 501.XP 502.XP
12.2 20 ST.001.S 020.MI.S 020.MI.S.SA 021 022.S 024.S 026.MI.S 026.MI.S.SA 027.S 028.S 030 031.MI.S 031.MI.S.SA 032.MI.S 032.MI.S.SA 033.S 036.S 038 039.S 501.XP.S
12.3 17 SYS.001.S 041.S 042.S 043.S 044.MI.S 044.MI.S.SA 045.S 047.S 049.MI.S 049.MI.S.SA 050.S 051.S 056.S 058.MI.S 058.MI.S.SA 501.XP.S 502.XP.S
12.4 12 060 061 062.S 063 064 065 067 501.XP.MI 501.XP.MI.SA 502.XP 503.XP 504.XP
Chapter 13: Asking and Answering Questions About the Difference Between Two Means
13.CE 1 001.SIP
13.JMP 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
13.Lab 18 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS 002.TI 003.Excel 003.JMP 003.Minitab 003.R 003.SPSS 003.TI
13.R 10 077 078 079 080 081.S 082.S 084.S 085.S 088 090.S
13.TB 001 002 003 005 006 007 008 009 010 011 012 013 014 015 016 018 020 021 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 044 045 053 054 055 056 057 058 059 060 061 062 063
13.1 3 001 002 004
13.2 30 005.MI.S 005.MI.S.SA 007.S 008.S 009 010.S 011.S 013.S 014.MI.S 014.MI.S.SA 016.S 017.S 018.S 019.S 020.S 021 022.S 023.MI.S 023.MI.S.SA 024.S 501.XP.MI.S 501.XP.MI.S.SA 502.XP.MI.S 502.XP.MI.S.SA 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S 505.XP.S 506.XP.MI.S 506.XP.MI.S.SA
13.3 31 ST.001.S ST.002.S SYS.001.S SYS.002.S 026.S 027.S 029.S 030.MI.S 030.MI.S.SA 031.S 032.S 033.S 034.S 035.S 037.S 038.S 039.S 040.S 041.S 042.S 043.S 044.S 501.XP.MI.S 501.XP.MI.S.SA 502.XP.S 503.XP.S 504.XP.MI.S 504.XP.MI.S.SA 505.XP.S 506.XP.S 507.XP.S
13.4 21 047 048 050.MI.S 050.MI.S.SA 051.S 052.S 053.MI.S 053.MI.S.SA 054.S 055 056 057.S 058 059.S 061 062 063 065.MI.S 065.MI.S.SA 501.XP 502.XP.S
13.5 10 067.MI 067.MI.SA 068.MI 068.MI.SA 069 070 073 074 075 076
Chapter 14: Learning from Categorical Data
14.CE 4 001.CV 001.SIP 002.SIP 003.SIP
14.JMP 6 001 002 003 004 005 006
14.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
14.R 10 036.S 037.S 038.S 039.S 040.S 041.S 043.S 044 045 501.XP
14.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 027 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044
14.1 18 001.S 002.MI.S 002.MI.S.SA 003.MI.S 003.MI.S.SA 004.S 007.S 008.S 010.S 011.MI.S 011.MI.S.SA 012.S 014.S 015.MI.S 015.MI.S.SA 017.S 501.XP.S 502.XP.S
14.2 18 019.MI.S 019.MI.S.SA 020.S 021 022.S 023.S 025.S 026.S 031.S 032.S 033.MI.S 033.MI.S.SA 034.S 501.XP 502.XP.S 503.XP.MI.S 503.XP.MI.S.SA 504.XP.S
Chapter 15: Understanding Relationships—Numerical Data
15.CE 1 001.SIP
15.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
15.R 3 044 045 048
15.TB 001 002 003 004 005 006 007 008 009 011 012 013 014 015 017 018 026 027 032 033 034
15.1 13 001 002 003.MI.S 003.MI.S.SA 006.MI.S 006.MI.S.SA 007 008 009.S 010.S 011.MI 011.MI.SA 501.XP.S
15.2 13 013 016.MI.S 016.MI.S.SA 017 018.S 020 021 022.S 024.S 025.S 502.XP.MI 502.XP.MI.SA 503.XP
15.3 17 028 029 030 031.S 033 035 037 038.MI.S 038.MI.S.SA 041 501.XP 502.XP.MI 502.XP.MI.SA 503.XP 503.XP.S 504.XP 505.XP
Chapter 16: Asking and Answering Questions About More Than Two Means
16.CE 2 001.CV 001.SIP
16.JMP 4 001 002 003 004
16.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
16.R 2 023.S 025.S
16.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
16.1 17 001.MI.S 001.MI.S.SA 002.MI.S 002.MI.S.SA 003.S 006.S 007.S 009.S 011 012 013.S 501.XP.MI.S 501.XP.MI.S.SA 502.XP.S 503.XP.S 504.XP.MI.S 504.XP.MI.S.SA
16.2 11 014.MI 014.MI.SA 015 016.MI 016.MI.SA 017 018 019.S 020.S 021 501.XP.S
Total 1328 (875)