Essentials of Statistics for Business and Economics 10th edition

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Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning

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  • Camm et al. Essentials of Statistics for Business and Economics 10e - Homework and Quizzes

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  • Chapter 1: Data and Statistics
    • 1.1: Applications in Business and Economics
    • 1.2: Data
    • 1.3: Data Sources
    • 1.4: Descriptive Statistics
    • 1.5: Statistical Inference
    • 1.6: Analytics
    • 1.7: Big Data and Data Mining
    • 1.8: Computers and Statistical Analysis
    • 1.9: Ethical Guidelines for Statistical Practice
    • 1: Supplementary Exercises (27)
    • 1: Test Bank (16)
    • 1: Previous Edition Questions (2)

  • Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
    • 2.1: Summarizing Data for a Categorical Variable (9)
    • 2.2: Summarizing Data for a Quantitative Variable (24)
    • 2.3: Summarizing Data for Two Variables Using Tables (8)
    • 2.4: Summarizing Data for Two Variables Using Graphical Displays (12)
    • 2.5: Data Visualization: Best Practices in Creating Effective Graphical Displays
    • 2: Supplementary Exercises (18)
    • 2: R Appendix Practice Problems (2)
    • 2: Exploring Statistics Applet Exercises (2)
    • 2: Case Problems (5)
    • 2: Test Bank (35)

  • Chapter 3: Descriptive Statistics: Numerical Measures
    • 3.1: Measures of Location (24)
    • 3.2: Measures of Variability (18)
    • 3.3: Measures of Distribution Shape, Relative Location, and Detecting Outliers (15)
    • 3.4: Five-Number Summaries and Boxplots (11)
    • 3.5: Measures of Association Between Two Variables (9)
    • 3.6: Data Dashboards: Adding Numerical Measures to Improve Effectiveness
    • 3: Supplementary Exercises (19)
    • 3: R Appendix Practice Problems (4)
    • 3: Exploring Statistics Applet Exercises (2)
    • 3: Case Problems (9)
    • 3: Test Bank (117)
    • 3: Previous Edition Questions (6)

  • Chapter 4: Introduction to Probability
    • 4.1: Random Experiments, Counting Rules, and Assigning Probabilities (14)
    • 4.2: Events and Their Probabilities (5)
    • 4.3: Some Basic Relationships of Probability (9)
    • 4.4: Conditional Probability (9)
    • 4.5: Bayes' Theorem (8)
    • 4: Supplementary Exercises (15)
    • 4: Exploring Statistics Applet Exercises (2)
    • 4: Case Problems (3)
    • 4: Test Bank (112)
    • 4: Previous Edition Questions (5)

  • Chapter 5: Discrete Probability Distributions
    • 5.1: Random Variables (6)
    • 5.2: Developing Discrete Probability Distributions (10)
    • 5.3: Expected Value and Variance (12)
    • 5.4: Bivariate Distributions, Covariance, and Financial Portfolios (7)
    • 5.5: Binomial Probability Distribution (12)
    • 5.6: Poisson Probability Distribution (7)
    • 5.7: Hypergeometric Probability Distribution (6)
    • 5: Supplementary Exercises (12)
    • 5: R Appendix Practice Problems (2)
    • 5: Exploring Statistics Applet Exercises (1)
    • 5: Case Problems (3)
    • 5: Test Bank (90)
    • 5: Previous Edition Questions (2)

  • Chapter 6: Continuous Probability Distributions
    • 6.1: Uniform Probability Distribution (8)
    • 6.2: Normal Probability Distribution (20)
    • 6.3: Normal Approximation of Binomial Probabilities (6)
    • 6.4: Exponential Probability Distribution (4)
    • 6: Supplementary Exercises (12)
    • 6: R Appendix Practice Problems (4)
    • 6: Exploring Statistics Applet Exercises (3)
    • 6: Case Problems (2)
    • 6: Test Bank (128)
    • 6: Previous Edition Questions (9)

  • Chapter 7: Sampling and Sampling Distributions
    • 7.1: The Electronics Associates Sampling Problem
    • 7.2: Selecting a Sample (6)
    • 7.3: Point Estimation (5)
    • 7.4: Introduction to Sampling Distributions
    • 7.5: Sampling Distribution of (11)
    • 7.6: Sampling Distribution of (11)
    • 7.7: Properties of Point Estimators
    • 7.8: Other Sampling Methods
    • 7.9: Big Data and Standard Errors of Sampling Distributions (1)
    • 7: Supplementary Exercises (13)
    • 7: Case Problems (1)
    • 7: Test Bank (99)
    • 7: Previous Edition Questions (1)

  • Chapter 8: Interval Estimation
    • 8.1: Population Mean: σ Known (10)
    • 8.2: Population Mean: σ Unknown (16)
    • 8.3: Determining the Sample Size (8)
    • 8.4: Population Proportion (13)
    • 8.5: Big Data and Confidence Intervals
    • 8: Supplementary Exercises (18)
    • 8: R Appendix Practice Problems (4)
    • 8: Exploring Statistics Applet Exercises (9)
    • 8: Case Problems (5)
    • 8: Test Bank (117)

  • Chapter 9: Hypothesis Tests
    • 9.1: Developing Null and Alternative Hypotheses (4)
    • 9.2: Type I and Type II Errors (4)
    • 9.3: Population Mean: σ Known (14)
    • 9.4: Population Mean: σ Unknown (15)
    • 9.5: Population Proportion (13)
    • 9.6: Hypothesis Testing and Decision Making
    • 9.7: Calculating the Probability of Type II Errors (7)
    • 9.8: Determining the Sample Size for a Hypothesis Test About a Population Mean (6)
    • 9.9: Big Data and Hypothesis Testing
    • 9: Supplementary Exercises (11)
    • 9: R Appendix Practice Problems (3)
    • 9: Exploring Statistics Applet Exercises (1)
    • 9: Case Problems (4)
    • 9: Test Bank (96)
    • 9: Previous Edition Questions (5)

  • Chapter 10: Inference About Means and Proportions with Two Populations
    • 10.1: Inferences About the Difference Between Two Population Means: σ1 and σ2 Known (10)
    • 10.2: Inferences About the Difference Between Two Population Means: σ1 and σ2 Unknown (15)
    • 10.3: Inferences About the Difference Between Two Population Means: Matched Samples (15)
    • 10.4: Inferences About the Difference Between Two Population Proportions (9)
    • 10: Supplementary Exercises (9)
    • 10: R Appendix Practice Problems (3)
    • 10: Exploring Statistics Applet Exercises (2)
    • 10: Case Problems (2)
    • 10: Test Bank (103)
    • 10: Previous Edition Questions (5)

  • Chapter 11: Inferences About Population Variances
    • 11.1: Inferences About a Population Variance (18)
    • 11.2: Inferences About Two Population Variances (13)
    • 11: Supplementary Exercises (15)
    • 11: R Appendix Practice Problems (3)
    • 11: Exploring Statistics Applet Exercises (2)
    • 11: Case Problems (4)
    • 11: Test Bank (74)
    • 11: Previous Edition Questions (2)

  • Chapter 12: Comparing Multiple Proportions, Test of Independence, and Goodness of Fit
    • 12.1: Testing the Equality of Population Proportions for Three or More Populations (10)
    • 12.2: Test of Independence (10)
    • 12.3: Goodness of Fit Test (7)
    • 12: Supplementary Exercises (12)
    • 12: R Appendix Practice Problems (2)
    • 12: Exploring Statistics Applet Exercises (1)
    • 12: Case Problems (5)
    • 12: Test Bank
    • 12: Previous Edition Questions (4)

  • Chapter 13: Experimental Design and Analysis of Variance
    • 13.1: An Introduction to Experimental Design and Analysis of Variance
    • 13.2: Analysis of Variance and the Completely Randomized Design (18)
    • 13.3: Multiple Comparison Procedures (10)
    • 13.4: Randomized Block Design (11)
    • 13.5: Factorial Experiment (9)
    • 13: Supplementary Exercises (16)
    • 13: R Appendix Practice Problems (3)
    • 13: Exploring Statistics Applet Exercises (2)
    • 13: Case Problems (6)
    • 13: Test Bank
    • 13: Previous Edition Questions (2)

  • Chapter 14: Simple Linear Regression
    • 14.1: Simple Linear Regression Model
    • 14.2: Least Squares Method (18)
    • 14.3: Coefficient of Determination (9)
    • 14.4: Model Assumptions
    • 14.5: Testing for Significance (13)
    • 14.6: Using the Estimated Regression Equation for Estimation and Prediction (9)
    • 14.7: Computer Solution (8)
    • 14.8: Residual Analysis: Validating Model Assumptions (7)
    • 14.9: Residual Analysis: Outliers and Influential Observations (6)
    • 14.10: Practical Advice: Big Data and Hypothesis Testing in Simple Linear Regression
    • 14: Supplementary Exercises (7)
    • 14: R Appendix Practice Problems (5)
    • 14: Exploring Statistics Applet Exercises (6)
    • 14: Case Problems (7)
    • 14: Test Bank
    • 14: Previous Edition Questions (2)

  • Chapter 15: Multiple Regression
    • 15.1: Multiple Regression Model
    • 15.2: Least Squares Method (12)
    • 15.3: Multiple Coefficient of Determination (11)
    • 15.4: Model Assumptions
    • 15.5: Testing for Significance (9)
    • 15.6: Using the Estimated Regression Equation for Estimation and Prediction (5)
    • 15.7: Categorical Independent Variables (10)
    • 15.8: Residual Analysis (6)
    • 15.9: Logistic Regression (3)
    • 15.10: Practical Advice: Big Data and Hypothesis Testing in Multiple Regression
    • 15: Supplementary Exercises (6)
    • 15: R Appendix Practice Problems (4)
    • 15: Case Problems (4)
    • 15: Test Bank
    • 15: Previous Edition Questions (4)

  • Chapter A: Appendix
    • A: Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis (11)


Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 10E draws from the authors' unmatched experience to introduce statistics using clear methodology, a proven problem-scenario approach and meaningful applications that demonstrate how statistical information impacts business decisions. More than 350 real and updated business examples, new and relevant cases and hands-on exercises present the latest statistical data and business information with unwavering accuracy. Step-by-step instructions for Excel® and R guide students in using this business software for data analysis. WebAssign allows you to deliver your course using online activities, secure testing, an eBook and student study resources. Whether building their prerequisite knowledge or honing their problem-solving skills, you have flexible, rich content to fuel deeper student learning and confidence in any course format.

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  • Exploring Statistics Applet (AQ) problems ask students to answer questions using linked interactive statistical applets.
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  • All questions contain detailed solutions to the problem, available to students at your discretion.
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Group Quantity Questions
Chapter A: Appendix
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Chapter 1: Data and Statistics
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1.TB 16 054 064 081 085 086 087 088 089 090 091 092 093 094 095 096 097
1.XP 2 001 002
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
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Chapter 3: Descriptive Statistics: Numerical Measures
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3.XP 6 001 002 003 004 005 006.alt
Chapter 4: Introduction to Probability
4.AQ 2 503B 503a
4.CP 3 001 001.alt 002
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4.TB 112 004 007 009 015 018 019 021 022 023 024 025 026 027 028 033 034 035 036 037 038 039 040 041 042 043 044 045 046 048 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 073 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147
4.XP 5 001 002 003 004 005
Chapter 5: Discrete Probability Distributions
5.A 2 001.R 002.R
5.AQ 1 505
5.CP 3 001 002 003
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5.XP 2 001 002
Chapter 6: Continuous Probability Distributions
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6.AQ 3 502a 502b 502c
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Chapter 7: Sampling and Sampling Distributions
7.CP 1 001
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7.XP 1 001
Chapter 8: Interval Estimation
8.A 4 1.001.R 1.002.R 2.001.R 3.001.R
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Chapter 9: Hypothesis Tests
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9.XP 5 001 002.MI 002.MI.SA 003 004
Chapter 10: Inference About Means and Proportions with Two Populations
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Chapter 11: Inferences About Population Variances
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11.AQ 2 501 502
11.CP 4 001 001.alt 002 002.alt
11.E 46 001 002.MI 002.MI.SA 003.MI 003.MI.SA 004 005 005.alt 006 007.MI 007.MI.SA 007.alt 009.MI 009.MI.SA 010 011 011.alt 012 013 014.MI 014.MI.SA 015 016 017 018 019 019.alt 020 021 021.alt 022 023 024.MI 024.MI.SA 025 025.alt 026 027.MI 027.MI.SA 028 029 030 031 032 033 034
11.TB 74 005 007 008 016 017 018 019 020 022 023 024 025 026 029 030 031 032 033 034 036 038 039 040 041 042 043 044 045 046 049 050 051 052 053 054 055 056 057 058 059 060 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094
11.XP 2 001 002
Chapter 12: Comparing Multiple Proportions, Test of Independence, and Goodness of Fit
12.A 2 001.R 002.R
12.AQ 1 501
12.CP 5 001 001.alt 002 002.alt 003
12.E 39 001 002.MI 002.MI.SA 003 004 005 006 007 007.alt 008 009 010 011 012 013 013.alt 014 015 017.MI 017.MI.SA 019.MI 019.MI.SA 020 021 023 024 025 027 028 029 030.MI 030.MI.SA 031 032 033 034 035.MI 035.MI.SA 037
12.XP 4 001.MI 001.MI.SA 002 003
Chapter 13: Experimental Design and Analysis of Variance
13.A 3 001.R 002.R 003.R
13.AQ 2 503a 503b
13.CP 6 001 001.alt 002 002.alt 003 003.alt
13.E 64 001 002.MI 002.MI.SA 003 004 005 006 006.alt 007 008 009.MI 009.MI.SA 010 010.alt 011 011.alt 012 012.alt 013.MI 013.MI.SA 014 015 016 017 018 019 020 020.alt 021 022 023.MI 023.MI.SA 024 025 025.alt 026.MI 026.MI.SA 026.alt 027 028 029 030 030.alt 031.MI 031.MI.SA 032 032.alt 033 034 035.MI 035.MI.SA 035.alt 036 036.alt 037 037.alt 038 038.alt 040 041 041.alt 043.MI 043.MI.SA 044
13.XP 2 001 002.alt
Chapter 14: Simple Linear Regression
14.A 5 001.R 002.R 003.R 004.R 005.R
14.AQ 6 502 503 506 508 509a 509b
14.CP 7 001 002 002.alt 003 003.alt 004 005
14.E 77 001 002 003 004 005 006 007 008 009 009.alt 010.MI 010.MI.SA 010.alt 011 012 012.alt 013.MI 013.MI.SA 015 016 017 018 019.MI 019.MI.SA 019.alt 020 021 023 024 025.MI 025.MI.SA 026 027 027.alt 028 028.alt 029.MI 029.MI.SA 031 031.alt 032 033 034 035 035.alt 036 037 038 039 040 041 042.MI 042.MI.SA 043 043.alt 044 044.alt 045 046 047 048.MI 048.MI.SA 049 049.alt 050 051 052 052.alt 053 053.alt 055 057 059 061 063 065 067
14.XP 2 001.MI 001.MI.SA
Chapter 15: Multiple Regression
15.A 4 001.R 002.R 003.R 004.R
15.CP 4 001 001.alt 002 003
15.E 62 001 002 003 004.MI 004.MI.SA 005 006 007 008 009 009.alt 010 011 012 013.MI 013.MI.SA 014 015 015.alt 016 017 017.alt 018 019.MI 019.MI.SA 020 021 022 023 025 025.alt 026 027 028 029 031 031.alt 032 033 034.MI 034.MI.SA 035 035.alt 036 037 037.alt 038 039 040 041 041.alt 042 043 045.MI 045.MI.SA 047 049.MI 049.MI.SA 051 053 055 057
15.XP 4 001 002 003 004
Total 2087