Elementary Statistics 10th edition

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Robert Johnson and Patricia Kuby
Publisher: Cengage Learning

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  • Chapter 1: Statistics
    • 1.1: Americans, Here's Looking at You (1)
    • 1.2: What is Statistics? (12)
    • 1.3: Measurability and Variability (4)
    • 1.4: Data Collection (10)
    • 1.5: Comparison of Probability and Statistics (4)
    • 1.6: Statistics and Technology
    • 1: Chapter Exercises (6)
    • 1: Active Examples (9)

  • Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
    • 2.1: You and the Internet
    • 2.2: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays (6)
    • 2.3: Frequency Distributions and Histograms (3)
    • 2.4: Measures of Central Tendency (8)
    • 2.5: Measures of Dispersion (6)
    • 2.6: Measures of Position (4)
    • 2.7: Interpreting and Understanding Standard Deviation (4)
    • 2.8: The Art of Statistical Deception
    • 2.9: Mean and Standard Deviation of Frequency Distribution (optional ) (5)
    • 2: Chapter Exercises
    • 2: Active Examples (10)

  • Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
    • 3.1: The Kid Is All Grown Up
    • 3.2: Bivariate Data (5)
    • 3.3: Linear Correlation (11)
    • 3.4: Linear Regression (13)
    • 3: Chapter Exercises (8)
    • 3: Active Examples (8)

  • Chapter 4: Probability
    • 4.1: Sweet Statistics (1)
    • 4.2: Probability of Events (13)
    • 4.3: Conditional Probability of Events (1)
    • 4.4: Rules of Probability (10)
    • 4.5: Mutually Exclusive Events (2)
    • 4.6: Independent Events (9)
    • 4.7: Are Mutual Exclusiveness and Independence Related? (1)
    • 4: Chapter Exercises
    • 4: Active Examples (10)

  • Chapter 5: Probability Distributions (Discrete Variables)
    • 5.1: Caffeine Drinking
    • 5.2: Random Variables
    • 5.3: Probability Distributions of a Discrete Random Variable (5)
    • 5.4: Mean and Variance of a Discrete Probability Distribution (3)
    • 5.5: The Binomial Probability Distribution (15)
    • 5.6: Mean and Standard Deviation of the Binomial Distribution (4)
    • 5: Chapter Exercises (10)
    • 5: Active Examples (10)

  • Chapter 6: Normal Probability Distributions
    • 6.1: Intelligence Scores
    • 6.2: Normal Probability Distributions (1)
    • 6.3: The Standard Normal Distribution (15)
    • 6.4: Applications of Normal Distributions (9)
    • 6.5: Notation (3)
    • 6.6: Normal Approximation of the Binomial (2)
    • 6: Chapter Exercises (7)
    • 6: Active Examples (10)

  • Chapter 7: Sample Variability
    • 7.1: 275 Million Americans (1)
    • 7.2: Sampling Distributions (1)
    • 7.3: The Sampling Distribution of Sample Means (7)
    • 7.4: Application of the Sampling Distribution of Sample Means (14)
    • 7: Chapter Exercises (13)
    • 7: Active Examples (7)

  • Chapter 8: Introduction to Statistical Inferences
    • 8.1: Were They Shorter Back Then?
    • 8.2: The Nature of Estimation (6)
    • 8.3: Estimation of Mean μ ( Known) (13)
    • 8.4: The Nature of Hypothesis Testing (5)
    • 8.5: Hypothesis Test of Mean μ ( Known): A Probability-Value Approach (9)
    • 8.6: Hypothesis Test of Mean μ ( Known ): A Classic Approach (3)
    • 8: Chapter Exercises
    • 8: Active Examples (10)

  • Chapter 9: Inferences Involving One Population
    • 9.1: Get Enough Daily Exercise?
    • 9.2: Inferences About Mean μ ( Known) (20)
    • 9.3: Inferences About the Binomial Probability of Success (8)
    • 9.4: Inferences About the Variance and Standard Deviation (7)
    • 9: Chapter Exercises (1)
    • 9: Active Examples (10)

  • Chapter 10: Inferences Involving Two Populations
    • 10.1: Students, Credit Cards, and Debt
    • 10.2: Dependent and Independent Samples (1)
    • 10.3: Inferences Concerning the Mean Difference Using Two Dependent Samples (10)
    • 10.4: Inferences Concerning the Difference Between Means Using Two Independent Samples (10)
    • 10.5: Inferences Concerning the Difference Between Proportions Using Two Independent Samples (6)
    • 10.6: Inferences Concerning the Ratio of Variances Using Two Independent Samples (6)
    • 10: Chapter Exercises (3)
    • 10: Active Examples (10)

  • Chapter 11: Applications of Chi-Square
    • 11.1: Cooling a Great Hot Taste
    • 11.2: Chi-Square Statistic (4)
    • 11.3: Inferences Concerning Multinomial Experiments (11)
    • 11.4: Inferences Concerning Contingency Tables (11)
    • 11: Chapter Exercises (10)
    • 11: Active Examples (7)

  • Chapter 12: Analysis of Variance
    • 12.1: Time Spent Commuting to Work
    • 12.2: Introduction to the Analysis of Variance Technique (3)
    • 12.3: The Logic Behind ANOVA (2)
    • 12.4: Applications of Single-Factor ANOVA (17)
    • 12: Chapter Exercises (13)
    • 12: Active Examples (6)

  • Chapter 13: Linear Correlation and Regression Analysis
    • 13.1: Wheat! Beautiful Golden Wheat!
    • 13.2: Linear Correlation Analysis (6)
    • 13.3: Inferences about the Linear Correlation Coefficient (14)
    • 13.4: Linear Regression Analysis (3)
    • 13.5: Inferences Concerning the Slope of the Regression Line (4)
    • 13.6: Confidence Interval for Regression (5)
    • 13.7: Understanding the Relationship between Correlation and Regression
    • 13: Chapter Exercises (4)
    • 13: Active Examples (9)

  • Chapter 14: Elements of Nonparametric Statistics
    • 14.1: Teenagers' Attitudes
    • 14.2: Nonparametric Statistics
    • 14.3: Comparing Statistical Tests
    • 14.4: The Sign Test (9)
    • 14.5: The Mann-Whitney U Test (6)
    • 14.6: The Runs Test (8)
    • 14.7: Rank Correlation (4)
    • 14: Chapter Exercises (8)
    • 14: 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
E - Exercise


Question Availability Color Key
BLACK questions are available now
GRAY questions are under development


Group Quantity Questions
Chapter 1: Statistics
1.AE 9 001 002 003 004 005 006 007 008 009
1.E 37 004 006 007 008 015 017 018 022 023 024 026 031 032 035 036 038 039 041 042 045 046 049 050 051 053 056 057 059 060 061 062 068 072 073 074 078 082
Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
2.AE 10 002 003 005 007 008 011 013 014 016 017
2.E 36 004 008 018 022 025 027 041 044 054 058 060 062 063 066 068 069 080 090 091 092 093 094 096 119 120 121 123 130 134 137 138 156 157 159 162 163
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3.AE 8 001 002 003 004 005 006 007 008
3.E 37 003 007 008 017 019 028 030 031 032 033 034 035 036 038 044 051 052 053 057 058 060 063 064 065 068 072 074 075 077 086 088 089 091 094 095 097 101
Chapter 4: Probability
4.AE 10 001 002 006 007 008 011 014 016 021 023
4.E 37 003 007 010 015 016 017 024 030 039 040 041 042 043 046 049 061 062 067 069 070 071 073 075 076 079 091 099 103 105 108 109 113 115 117 119 122 130
Chapter 5: Probability Distributions (Discrete Variables)
5.AE 10 001 002 003 004 005 006 007 008 010 011
5.E 37 013 016 017 019 023 030 031 035 056 057 061 063 064 065 066 067 069 070 071 072 075 076 080 085 089 093 094 103 105 107 108 109 111 116 120 121 122
Chapter 6: Normal Probability Distributions
6.AE 10 001 002 004 005 006 010 012 014 017 019
6.E 37 003 010 011 012 013 014 017 019 020 021 022 023 024 030 034 037 041 042 045 048 049 051 053 059 061 078 079 082 093 094 102 103 104 107 110 115 125
Chapter 7: Sample Variability
7.AE 7 001 002 003 004 005 006 007
7.E 36 002 003 020 021 022 023 024 025 026 029 030 032 033 034 035 036 037 038 040 041 042 043 044 047 048 052 054 055 056 057 058 059 060 061 062 066
Chapter 8: Introduction to Statistical Inferences
8.AE 10 001 004 005 006 008 009 014 015 018 019
8.E 36 005 006 009 013 014 015 020 021 022 023 024 033 034 035 039 046 047 049 050 069 070 072 076 077 089 090 102 104 106 107 115 116 117 140 152 155
Chapter 9: Inferences Involving One Population
9.AE 10 001 002 003 005 008 010 011 015 016 018
9.E 36 005 006 007 012 021 022 023 025 028 029 031 035 036 037 038 043 044 047 053 054 072 073 075 088 093 095 102 105 117 130 131 135 136 142 143 156
Chapter 10: Inferences Involving Two Populations
10.AE 10 001 002 003 004 006 008 012 016 018 020
10.E 36 009 013 018 019 020 023 024 025 027 032 033 040 043 045 047 053 054 061 062 064 071 087 088 092 097 098 101 110 113 115 119 120 121 133 139 146
Chapter 11: Applications of Chi-Square
11.AE 7 001 002 003 004 005 006 007
11.E 36 003 004 005 006 010 011 014 015 016 017 018 019 020 021 023 029 030 032 033 034 035 036 037 039 041 042 046 047 048 049 050 058 059 061 062 063
Chapter 12: Analysis of Variance
12.AE 6 001 002 003 004 005 006
12.E 35 004 005 006 007 008 011 012 014 015 016 017 018 021 024 025 026 027 028 029 030 032 034 039 040 042 043 044 045 046 047 048 050 051 058 059
Chapter 13: Linear Correlation and Regression Analysis
13.AE 9 001 002 003 005 006 008 009 010 011
13.E 36 007 008 009 010 013 014 016 018 019 020 021 022 023 024 025 029 030 034 037 039 043 046 047 050 054 055 058 063 067 068 070 073 080 083 086 090
Chapter 14: Elements of Nonparametric Statistics
14.AE 10 001 002 003 004 005 007 009 010 013 014
14.E 35 004 005 006 008 010 011 012 019 022 024 026 027 030 033 034 038 039 040 042 043 044 046 048 054 058 059 061 070 074 076 078 081 084 085 087
Total 633