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Elementary Statistics 11th edition

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Robert R. Johnson and Patricia J. Kuby
Publisher: Brooks/Cole

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Table of Contents

  • Chapter 1: Statistics
    • 1.1: What is Statistics? (8)
    • 1.2: Measurability and Variability (4)
    • 1.3: Data Collection (10)
    • 1.4: Statistics and Technology
    • 1: Chapter Exercises (1)
    • Extra Problem (9)
    • Active Examples (4)

  • Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
    • 2.1: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays (3)
    • 2.2: Frequency Distributions and Histograms (2)
    • 2.3: Measures of Central Tendency (6)
    • 2.4: Measures of Dispersion (5)
    • 2.5: Measures of Position (4)
    • 2.6: Interpreting and Understanding Standard Deviation (4)
    • 2.7: The Art of Statistical Deception
    • 2: Chapter Exercises
    • Extra Problem (12)
    • Active Examples (8)

  • Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
    • 3.1: Bivariate Data (5)
    • 3.2: Linear Correlation (7)
    • 3.3: Linear Regression (8)
    • 3: Chapter Exercises (8)
    • Extra Problem (9)
    • Active Examples (6)

  • Chapter 4: Probability
    • 4.1: Probability of Events (12)
    • 4.2: Conditional Probability of Events (1)
    • 4.3: Rules of Probability (10)
    • 4.4: Mutually Exclusive Events (2)
    • 4.5: Independent Events (7)
    • 4.6: Are Mutual Exclusiveness and Independence Related? (1)
    • 4: Chapter Exercises
    • Extra Problem (8)
    • Active Examples (7)

  • Chapter 5: Probability Distributions (Discrete Variables)
    • 5.1: Random Variables
    • 5.2: Probability Distributions of a Discrete Random Variable (7)
    • 5.3: The Binomial Probability Distribution (16)
    • 5: Chapter Exercises (10)
    • Extra Problem (4)
    • Active Examples (10)

  • Chapter 6: Normal Probability Distributions
    • 6.1: Normal Probability Distributions (1)
    • 6.2: The Standard Normal Distribution (13)
    • 6.3: Applications of Normal Distributions (6)
    • 6.4: Notation
    • 6.5: Normal Approximation of the Binomial
    • 6: Chapter Exercises (7)
    • Extra Problem (10)
    • Active Examples (2)

  • Chapter 7: Sample Variability
    • 7.1: Sampling Distributions (2)
    • 7.2: The Sampling Distribution of Sample Means (3)
    • 7.3: Application of the Sampling Distribution of Sample Means (11)
    • 7: Chapter Exercises (10)
    • Extra Problem (10)
    • Active Examples (6)

  • Chapter 8: Introduction to Statistical Inferences
    • 8.1: The Nature of Estimation (6)
    • 8.2: Estimation of Mean μ (σ Known) (12)
    • 8.3: The Nature of Hypothesis Testing (5)
    • 8.4: Hypothesis Test of Mean μ (σ Known): A Probability-Value Approach (7)
    • 8.5: Hypothesis Test of Mean μ (σ Known ): A Classical Approach (3)
    • 8: Chapter Exercises
    • Extra Problem (3)
    • Active Examples (8)

  • Chapter 9: Inferences Involving One Population
    • 9.1: Inferences About Mean μ (σ Unknown) (18)
    • 9.2: Inferences About the Binomial Probability of Success (7)
    • 9.3: Inferences About the Variance and Standard Deviation (7)
    • 9: Chapter Exercises (1)
    • Extra Problem (3)
    • Active Examples (10)

  • Chapter 10: Inferences Involving Two Populations
    • 10.1: Dependent and Independent Samples (1)
    • 10.2: Inferences Concerning the Mean Difference Using Two Dependent Samples (9)
    • 10.3: Inferences Concerning the Difference Between Means Using Two Independent Samples (8)
    • 10.4: Inferences Concerning the Difference Between Proportions Using Two Independent Samples (6)
    • 10.5: Inferences Concerning the Ratio of Variances Using Two Independent Samples (5)
    • 10: Chapter Exercises (3)
    • Extra Problem (4)
    • Active Examples (10)

  • Chapter 11: Applications of Chi-Square
    • 11.1: Chi-Square Statistic (4)
    • 11.2: Inferences Concerning Multinomial Experiments (10)
    • 11.3: Inferences Concerning Contingency Tables (9)
    • 11: Chapter Exercises (9)
    • Extra Problem (4)
    • Active Examples (7)

  • Chapter 12: Analysis of Variance
    • 12.1: Introduction to the Analysis of Variance Technique (2)
    • 12.2: The Logic Behind ANOVA (2)
    • 12.3: Applications of Single-Factor ANOVA (12)
    • 12: Chapter Exercises (11)
    • Extra Problem (7)
    • Active Examples (5)

  • Chapter 13: Linear Correlation and Regression Analysis
    • 13.1: Linear Correlation Analysis (6)
    • 13.2: Inferences about the Linear Correlation Coefficient (11)
    • 13.3: Linear Regression Analysis (2)
    • 13.4: Inferences Concerning the Slope of the Regression Line (4)
    • 13.5: Confidence Intervals for Regression (5)
    • 13.6: Understanding the Relationship between Correlation and Regression (4)
    • 13: Chapter Exercises
    • Extra Problem (4)
    • Active Examples (9)

  • Chapter 14: Elements of Nonparametric Statistics
    • 14.1: Nonparametric Statistics
    • 14.2: The Sign Test (8)
    • 14.3: The Mann-Whitney U Test (6)
    • 14.4: The Runs Test (6)
    • 14.5: Rank Correlation (3)
    • 14: Chapter Exercises (7)
    • Extra Problem (5)
    • Active Examples (10)

Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

Question Group Key

AE
 Active Example
XP
 Extra Problem (not found in textbook)


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BLACK questions are available now
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Group Quantity Questions
Chapter 1: Statistics
1.AE 4 004 005 009 010
1.E 32 015 018 019 023 025 027 033 034 037 038 040 041 043 044 047 048 051 052 053 055 058 059 066 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
2.AE 8 002 003 005 007 008 011 013 016
2.E 36 024 027 029 043 046 060 067 068 074 075 088 098 099 100 101 104 129 130 131 133 140 144 147 148 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3.AE 6 001 002 003 005 006 007
3.E 37 003 007 008 017 019 028 030 031 033 036 037 050 051 052 055 057 061 065 066 067 088 090 091 093 095 096 098 102 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 4: Probability
4.AE 7 001 003 007 012 017 022 024
4.E 41 003 005 014 019 035 036 037 038 047 048 049 050 051 063 064 069 071 072 073 075 077 078 081 093 101 105 107 110 111 115 121 124 132 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 5: Probability Distributions (Discrete Variables)
5.AE 10 001 002 003 004 005 006 007 008 010 011
5.E 37 013 016 017 019 024 025 026 054 055 063 064 065 066 067 071 072 073 077 081 085 087 089 090 101 103 107 108 109 111 112 117 118 119 501.XP 502.XP 503.XP 504.XP
Chapter 6: Normal Probability Distributions
6.AE 2 008 021
6.E 37 003 015 017 018 021 023 024 025 026 027 028 034 035 040 045 046 049 059 063 065 109 110 111 114 117 121 131 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
Chapter 7: Sample Variability
7.AE 6 001 002 004 005 006 007
7.E 36 002 003 020 021 026 029 030 032 033 034 035 036 037 041 043 044 047 048 055 057 058 059 060 061 062 066 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
Chapter 8: Introduction to Statistical Inferences
8.AE 8 004 006 008 009 014 015 018 019
8.E 36 005 006 009 015 016 018 022 023 024 025 026 035 036 037 041 048 049 051 073 074 076 080 081 093 094 106 108 110 111 119 148 160 163 501.XP 502.XP 503.XP
Chapter 9: Inferences Involving One Population
9.AE 10 001 002 003 005 008 010 011 015 016 018
9.E 36 005 006 007 012 021 026 027 029 030 035 036 037 038 043 044 047 053 054 074 075 090 095 097 104 107 119 132 133 137 139 148 149 162 501.XP 502.XP 503.XP
Chapter 10: Inferences Involving Two Populations
10.AE 10 001 002 003 004 006 008 012 016 018 020
10.E 36 009 013 018 019 023 024 025 029 032 035 042 045 049 055 056 067 068 072 089 092 096 101 102 109 116 119 121 126 127 143 149 156 501.XP 502.XP 503.XP 504.XP
Chapter 11: Applications of Chi-Square
11.AE 7 001 002 003 004 005 006 007
11.E 36 003 004 005 006 011 012 015 016 019 021 022 023 024 025 033 034 036 038 041 042 043 045 047 056 057 058 059 060 069 070 071 073 501.XP 502.XP 503.XP 504.XP
Chapter 12: Analysis of Variance
12.AE 5 001 002 003 005 006
12.E 34 009 010 011 012 015 016 018 019 020 021 022 027 028 029 033 043 047 048 050 051 052 053 054 055 056 068 069 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 13: Linear Correlation and Regression Analysis
13.AE 9 001 002 003 005 007 009 010 011 012
13.E 36 007 008 009 010 013 014 016 018 019 021 022 024 025 029 030 034 037 048 049 052 058 059 064 069 073 074 075 078 086 089 092 096 501.XP 502.XP 503.XP 504.XP
Chapter 14: Elements of Nonparametric Statistics
14.AE 10 001 002 003 004 005 007 009 010 013 014
14.E 35 002 003 006 008 009 010 017 020 022 024 025 030 031 034 038 039 040 042 043 044 054 059 061 070 074 076 078 081 084 085 501.XP 502.XP 503.XP 504.XP 505.XP
Total 607  
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