Mind on Statistics 4th edition

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Jessica M. Utts and Robert F. Heckard
Publisher: Cengage Learning

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  • Chapter 1: Statistics Success Stories and Cautionary Tales
    • 1.1: What Is Statistics?
    • 1.2: Eight Statistical Stories with Morals
    • 1.3: The Common Elements in the Eight Stories
    • 1: Chapter Exercises (10)
    • Extra Problems
    • Extra Problems
    • Extra Problems (1)
    • Active Examples

  • Chapter 2: Turning Data Into Information
    • 2.1: Raw Data (4)
    • 2.2: Types of Variables (4)
    • 2.3: Summarizing One or Two Categorical Variables (6)
    • 2.4: Exploring Features of Quantitative Data with Pictures (2)
    • 2.5: Numerical Summaries of Quantitative Variables (5)
    • 2.6: How to Handle Outliers (1)
    • 2.7: Bell-Shaped Distributions and Standard Deviations (7)
    • 2.8: Skillbuilder Applet: The Empirical Rule in Action
    • 2: Chapter Exercises (2)
    • Extra Problems
    • Extra Problems
    • Extra Problems (2)
    • Active Examples (3)

  • Chapter 3: Relationships Between Quantitative Variables
    • 3.1: Looking for Patterns with Scatterplots (1)
    • 3.2: Describing Linear Patterns with a Regression Line (12)
    • 3.3: Measuring Strength and Direction with Correlation (6)
    • 3.4: Regression and Correlation Difficulties and Disasters (2)
    • 3.5: Correlation Does Not Prove Causation
    • 3.6: Skillbuilder Applet: Exploring Correlation
    • 3: Chapter Exercises (4)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (3)

  • Chapter 4: Relationships Between Categorical Variables
    • 4.1: Displaying Relationships Between Categorical Variables
    • 4.2: Risk, Relative Risk, and Misleading Statistics About Risk
    • 4.3: The Effect of a Third Variable and Simpson's Paradox (11)
    • 4.4: Assessing the Statistical Significance of a 2x2 Table (2)
    • 4: Chapter Exercises (3)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (2)

  • Chapter 5: Sampling: Surveys and How to Ask Questions
    • 5.1: Collecting and Using Sample Data Wisely (3)
    • 5.2: Margin of Error, Confidence Intervals, and Sample Size (13)
    • 5.3: Choosing a Simple Random Sample
    • 5.4: Other Sampling Methods (3)
    • 5.5: Difficulties and Disasters in Sampling
    • 5.6: How to Ask Survey Questions
    • 5.7: Skillbuilder Applet: Random Sampling in Action
    • 5: Chapter Exercises (4)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (7)

  • Chapter 6: Gathering Useful Data for Examining Relationships
    • 6.1: Speaking the Language of Research Studies (3)
    • 6.2: Designing a Good Experiment (5)
    • 6.3: Designing a Good Observational Study (2)
    • 6.4: Difficulties and Disasters in Experiments and Observational Studies (3)
    • 6: Chapter Exercises (5)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (2)

  • Chapter 7: Probability
    • 7.1: Random Circumstances (2)
    • 7.2: Interpretations of Probability (5)
    • 7.3: Probability Definitions and Relationships (2)
    • 7.4: Basic Rules for Finding Probabilities (8)
    • 7.5: Finding Complicated Probabilities (12)
    • 7.6: Using Simulation to Estimate Probabilities (2)
    • 7.7: Flawed Intuitive Judgments About Probability (2)
    • 7: Chapter Exercises (17)
    • Extra Problems
    • Extra Problems
    • Extra Problems (1)
    • Active Examples (5)

  • Chapter 8: Random Variables
    • 8.1: What Is a Random Variable? (3)
    • 8.2: Discrete Random Variables (10)
    • 8.3: Expectations for Random Variables (11)
    • 8.4: Binomial Random Variables (7)
    • 8.5: Continuous Random Variables (1)
    • 8.6: Normal Random Variables (11)
    • 8.7: Approximating Binomial Distribution Probabilities
    • 8.8: Sums, Differences, and Combinations of Random Variables (8)
    • 8: Chapter Exercises (9)
    • Extra Problems
    • Extra Problems
    • Extra Problems (2)
    • Active Examples (8)

  • Chapter 9: Understanding Sampling Distribution: Statistics as Random Variables
    • 9.1: Parameters, Statistics, and Statistical Inference
    • 9.2: From Curiosity to Questions About Parameters
    • 9.3: SD Module 0: An Overview of Sampling Distributions
    • 9.4: SD Module 1: Sampling Distribution for One Sample Proportion (7)
    • 9.5: SD Module 2: Sampling Distribution for the Difference in Two Sample Proportions (2)
    • 9.6: SD Module 3: Sampling Distribution for One Sample Mean (3)
    • 9.7: SD Module 4: Sampling Distribution for the Sample Mean of Paired Differences
    • 9.8: SD Module 5: Sampling Distribution for the Difference in Two Sample Means
    • 9.9: Preparing for Statistical Inference: Standardized Statistics (3)
    • 9.10: Generalizations beyond the Big Five (6)
    • 9.11: Skillbuilder Applet: Finding the Pattern in Sample Means (1)
    • 9: Chapter Exercises (3)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (4)

  • Chapter 10: Estimating Proportions with Confidence
    • 10.1: CI Module 0: An Overview of Confidence Intervals (2)
    • 10.2: CI Module 1: Confidence Intervals for a Population Proportion (8)
    • 10.3: CI Module 2: Confidence Intervals for the Difference in Two Population Proportions (2)
    • 10.4: Using Confidence Intervals to Guide Decisions (6)
    • 10: Chapter Exercises
    • Extra Problems
    • Extra Problems
    • Extra Problems (4)
    • Active Examples (2)

  • Chapter 11: Estimating Means with Confidence
    • 11.1: Introduction to Confidence Intervals for Means (5)
    • 11.2: CI Module 3: Confidence Interval for One Population Mean (7)
    • 11.3: CI Module 4: Confidence Interval for the Population Mean of Paired Differences
    • 11.4: CI Module 5: Confidence Interval for the Difference in Two Population Means (7)
    • 11.5: Understanding Any Confidence Interval (2)
    • 11.6: Skillbuilder Applet: The Confidence Level in Action
    • 11: Chapter Exercises (15)
    • Extra Problems
    • Extra Problems
    • Extra Problems (1)
    • Active Examples (2)

  • Chapter 12: Testing Hypotheses About Proportions
    • 12.1: HT Module 0: An Overview of Hypothesis Testing (18)
    • 12.2: HT Module 1: Testing Hypotheses about a Population Proportion (5)
    • 12.3: HT Module 2: Testing Hypotheses about the Difference in Two Population Proportions (5)
    • 12.4: Sample Size, Statistical Significance, and Practical Importance (4)
    • 12: Chapter Exercises (10)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (3)

  • Chapter 13: Testing Hypotheses About Means
    • 13.1: Introduction to Hypothesis Tests for Means
    • 13.2: HT Module 3: Testing Hypotheses about One Population Mean (5)
    • 13.3: HT Module 4: Testing Hypotheses about the Population Mean of Paired Differences (3)
    • 13.4: HT Module 5: Testing Hypotheses about the Difference in Two Population Means (Independent Samples) (4)
    • 13.5: The Relationship Between Significance Tests and Confidence Intervals (2)
    • 13.6: Choosing an Appropriate Inference Procedure
    • 13.7: Effect Size (3)
    • 13.8: Evaluating Significance in Research Reports
    • 13: Chapter Exercises (6)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (2)

  • Chapter 14: Inference About Simple Regression
    • 14.1: Sample and Population Regression Models (4)
    • 14.2: Estimating the Standard Deviation for Regression (4)
    • 14.3: Inference about the Slope of a Linear Regression (2)
    • 14.4: Predicting y and Estimating Mean y at a Specific x (1)
    • 14.5: Checking Conditions for Using Regression Models for Inference (2)
    • 14: Chapter Exercises (8)
    • Extra Problems
    • Extra Problems
    • Extra Problems (1)
    • Active Examples (3)

  • Chapter 15: More about Inference for Categorical Variables
    • 15.1: The Chi-Square Test for Two-Way Tables (8)
    • 15.2: Analyzing 2x2 Tables (5)
    • 15.3: Testing Hypotheses about One Categorical Variable: Goodness-of-Fit (4)
    • 15: Chapter Exercises (3)
    • Extra Problems
    • Extra Problems
    • Extra Problems (2)
    • Active Examples (3)

  • Chapter 16: Analysis of Variance
    • 16.1: Comparing Means with an ANOVA F-Test (1)
    • 16.2: Details of One-Way Analysis of Variance (7)
    • 16.3: Other Methods for Comparing Populations (2)
    • 16.4: Two-Way Analysis of Variance (1)
    • 16: Chapter Exercises (3)
    • Extra Problems
    • Extra Problems
    • Extra Problems (1)
    • Active Examples (5)

  • Chapter 17: Turning Information Into Wisdom
    • 17.1: Beyond the Data
    • 17.2: Transforming Uncertainty Into Wisdom
    • 17.3: Making Personal Decisions
    • 17.4: Control of Societal Risks
    • 17.5: Understanding Our World
    • 17.6: Getting to Know You
    • 17.7: Words to the Wise
    • 17: Chapter Exercises (11)
    • Extra Problems
    • Extra Problems
    • Extra Problems
    • Active Examples (1)


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Group Quantity Questions
Chapter 1: Statistics Success Stories and Cautionary Tales
1.E 11 001 002 003 008 012 016 022 025 028 032 501.XP
Chapter 2: Turning Data Into Information
2.AE 3 004 005 016
2.E 33 001 002 005 006 011 012 017 018 027 030 031 033 035 037 040 045 059 061 062 064 072 084 085 088 092 094 095 100 104 115 117 501.XP 502.XP
Chapter 3: Relationships Between Quantitative Variables
3.AE 3 001 013 020
3.E 25 004 013 014 015 017 018 019 020 021 022 023 025 026 027 030 032 043 045 047 055 062 084 085 087 091
Chapter 4: Relationships Between Categorical Variables
4.AE 2 007 016
4.E 16 003 010 015 019 022 023 024 025 026 027 034 041 044 061 066 067
Chapter 5: Sampling: Surveys and How to Ask Questions
5.AE 7 002 006 011 013 015 016 019
5.E 23 010 014 015 023 024 025 026 027 028 032 035 037 038 039 040 041 050 051 052 099 102 107 116
Chapter 6: Gathering Useful Data for Examining Relationships
6.AE 2 001 008
6.E 18 001 002 009 023 024 029 030 031 035 036 046 047 056 065 068 069 070 081
Chapter 7: Probability
7.AE 5 002 010 012 024 026
7.E 51 003 005 008 009 010 014 019 020 032 038 039 040 046 049 050 051 053 055 056 057 058 059 060 061 062 063 064 065 066 067 069 076 080 091 093 094 095 096 097 098 100 102 104 105 106 107 108 109 110 111 501.XP
Chapter 8: Random Variables
8.AE 8 003 012 019 021 023 024 026 027
8.E 62 001 002 003 009 010 013 014 015 017 018 020 021 022 027 030 031 032 033 034 035 036 037 038 040 043 044 045 046 047 050 055 058 063 067 069 071 072 073 075 077 078 079 080 087 088 089 090 091 093 094 095 098 099 100 101 102 105 107 113 114 501.XP 502.XP
Chapter 9: Understanding Sampling Distribution: Statistics as Random Variables
9.AE 4 001 002 011 012
9.E 25 036 037 039 040 043 045 046 050 051 060 061 062 092 096 099 113 114 115 118 121 124 131 138 141 151
Chapter 10: Estimating Proportions with Confidence
10.AE 2 005 011
10.E 22 006 017 025 026 027 032 041 044 046 047 056 059 063 071 084 085 091 092 501.XP 502.XP 503.XP 504.XP
Chapter 11: Estimating Means with Confidence
11.AE 2 008 009
11.E 37 003 007 016 017 018 029 032 035 036 037 041 042 054 055 056 057 058 060 061 064 065 073 074 075 076 077 078 081 082 083 085 086 087 088 089 090 501.XP
Chapter 12: Testing Hypotheses About Proportions
12.AE 3 004 007 018
12.E 42 005 006 007 010 011 019 020 021 022 024 025 026 027 028 029 031 036 037 041 042 045 051 052 064 065 068 071 073 074 076 078 085 092 095 096 099 100 109 112 113 116 118
Chapter 13: Testing Hypotheses About Means
13.AE 2 008 015
13.E 23 023 024 025 030 031 037 042 043 054 055 056 059 065 066 080 081 087 096 097 098 104 105 112
Chapter 14: Inference About Simple Regression
14.AE 3 005 010 011
14.E 22 001 003 005 007 011 012 015 017 021 022 035 044 046 048 049 050 051 052 053 054 055 501.XP
Chapter 15: More about Inference for Categorical Variables
15.AE 3 001 009 012
15.E 22 004 005 006 007 008 009 012 016 019 020 022 024 026 035 037 042 043 055 059 060 501.XP 502.XP
Chapter 16: Analysis of Variance
16.AE 5 001 003 006 011 014
16.E 15 009 014 015 016 019 021 022 023 027 030 038 042 049 057 501.XP
Chapter 17: Turning Information Into Wisdom
17.AE 1 002
17.E 11 020 021 022 023 024 025 026 027 028 032 033
Total 513