Statistics for Business and Economics - Revised 13th edition

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

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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 (22)

  • Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
    • 2.1: Summarizing Data for a Categorical Variable (8)
    • 2.2: Summarizing Data for a Quantitative Variable (22)
    • 2.3: Summarizing Data for Two Variables Using Tables (8)
    • 2.4: Summarizing Data for Two Variables Using Graphical Displays (13)
    • 2.5: Data Visualization: Best Practices in Creating Effective Graphical Displays
    • 2: Supplementary Exercises (17)
    • 2: Exploring Statistics Applet Exercises (2)

  • Chapter 3: Descriptive Statistics: Numerical Measures
    • 3.1: Measures of Location (22)
    • 3.2: Measures of Variability (14)
    • 3.3: Measures of Distribution Shape, Relative Location, and Detecting Outliers (11)
    • 3.4: Five-Number Summaries and Boxplots (9)
    • 3.5: Measures of Association Between Two Variables (8)
    • 3.6: Data Dashboards: Adding Numerical Measures to Improve Effectiveness
    • 3: Supplementary Exercises (17)
    • 3: Exploring Statistics Applet Exercises (2)

  • Chapter 4: Introduction to Probability
    • 4.1: Random Experiments, Counting Rules, and Assigning Probabilities (12)
    • 4.2: Events and Their Probabilities (6)
    • 4.3: Some Basic Relationships of Probability (7)
    • 4.4: Conditional Probability (6)
    • 4.5: Bayes' Theorem (6)
    • 4: Supplementary Exercises (13)
    • 4: Exploring Statistics Applet Exercises (2)

  • Chapter 5: Discrete Probability Distributions
    • 5.1: Random Variables (6)
    • 5.2: Developing Discrete Probability Distributions (8)
    • 5.3: Expected Value and Variance (10)
    • 5.4: Bivariate Distributions, Covariance, and Financial Portfolios (6)
    • 5.5: Binomial Probability Distribution (10)
    • 5.6: Poisson Probability Distribution (6)
    • 5.7: Hypergeometric Probability Distribution (5)
    • 5: Supplementary Exercises (11)
    • 5: Exploring Statistics Applet Exercises (1)

  • Chapter 6: Continuous Probability Distributions
    • 6.1: Uniform Probability Distribution (6)
    • 6.2: Normal Probability Distribution (17)
    • 6.3: Normal Approximation of Binomial Probabilities (5)
    • 6.4: Exponential Probability Distribution (3)
    • 6: Supplementary Exercises (8)
    • 6: Exploring Statistics Applet Exercises (3)

  • Chapter 7: Sampling and Sampling Distributions
    • 7.1: The Electronics Associates Sampling Problem
    • 7.2: Selecting a Sample (5)
    • 7.3: Point Estimation (4)
    • 7.4: Introduction to Sampling Distributions
    • 7.5: Sampling Distribution of (9)
    • 7.6: Sampling Distribution of (9)
    • 7.7: Properties of Point Estimators
    • 7.8: Other Sampling Methods
    • 7: Supplementary Exercises (10)

  • Chapter 8: Interval Estimation
    • 8.1: Population Mean: σ Known (8)
    • 8.2: Population Mean: σ Unknown (13)
    • 8.3: Determining the Sample Size (6)
    • 8.4: Population Proportion (11)
    • 8: Supplementary Exercises (13)
    • 8: Exploring Statistics Applet Exercises (9)

  • 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 (12)
    • 9.4: Population Mean: σ Unknown (12)
    • 9.5: Population Proportion (10)
    • 9.6: Hypothesis Testing and Decision Making
    • 9.7: Calculating the Probability of Type II Errors (5)
    • 9.8: Determining the Sample Size for a Hypothesis Test About a Population Mean (4)
    • 9: Supplementary Exercises (8)
    • 9: Exploring Statistics Applet Exercises (1)

  • Chapter 10: Inference About Means and Proportions with Two Populations
    • 10.1: Inferences About the Difference Between Two Population Means: σ1 and σ2 Known (8)
    • 10.2: Inferences About the Difference Between Two Population Means: σ1 and σ2 Unknown (13)
    • 10.3: Inferences About the Difference Between Two Population Means: Matched Samples (13)
    • 10.4: Inferences About the Difference Between Two Population Proportions (7)
    • 10: Supplementary Exercises (6)
    • 10: Exploring Statistics Applet Exercises (2)

  • Chapter 11: Inferences About Population Variances
    • 11.1: Inferences About a Population Variance (12)
    • 11.2: Inferences About Two Population Variances (12)
    • 11: Supplementary Exercises (13)
    • 11: Exploring Statistics Applet Exercises (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 (8)
    • 12.2: Test of Independence (8)
    • 12.3: Goodness of Fit Test (6)
    • 12: Supplementary Exercises (8)
    • 12: Exploring Statistics Applet Exercises (1)

  • 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 (16)
    • 13.3: Multiple Comparison Procedures (9)
    • 13.4: Randomized Block Design (10)
    • 13.5: Factorial Experiment (7)
    • 13: Supplementary Exercises (16)
    • 13: Exploring Statistics Applet Exercises (2)

  • Chapter 14: Simple Linear Regression
    • 14.1: Simple Linear Regression Model
    • 14.2: Least Squares Method (11)
    • 14.3: Coefficient of Determination (8)
    • 14.4: Model Assumptions
    • 14.5: Testing for Significance (11)
    • 14.6: Using the Estimated Regression Equation for Estimation and Prediction (8)
    • 14.7: Computer Solution (7)
    • 14.8: Residual Analysis: Validating Model Assumptions (6)
    • 14.9: Residual Analysis: Outliers and Influential Observations (6)
    • 14: Supplementary Exercises (7)
    • 14: Exploring Statistics Applet Exercises (6)

  • Chapter 15: Multiple Regression
    • 15.1: Multiple Regression Model
    • 15.2: Least Squares Method (10)
    • 15.3: Multiple Coefficient of Determination (9)
    • 15.4: Model Assumptions
    • 15.5: Testing for Significance (7)
    • 15.6: Using the Estimated Regression Equation for Estimation and Prediction (5)
    • 15.7: Categorical Independent Variables (8)
    • 15.8: Residual Analysis (6)
    • 15.9: Logistic Regression (2)
    • 15: Supplementary Exercises (5)

  • Chapter 16: Regression Analysis: Model Building
    • 16.1: General Linear Model (11)
    • 16.2: Determining When to Add or Delete Variables (6)
    • 16.3: Analysis of a Larger Problem
    • 16.4: Variable Selection Procedures (2)
    • 16.5: Multiple Regression Approach to Experimental Design (4)
    • 16.6: Autocorrelation and the Durbin–Watson Test (2)
    • 16: Supplementary Exercises (4)
    • 16: Exploring Statistics Applet Exercises (1)

  • Chapter 17: Time Series Analysis and Forecasting
    • 17.1: Time Series Patterns
    • 17.2: Forecast Accuracy (4)
    • 17.3: Moving Averages and Exponential Smoothing (15)
    • 17.4: Trend Projection (14)
    • 17.5: Seasonality and Trend (12)
    • 17.6: Time Series Decomposition (10)
    • 17: Supplementary Exercises (17)
    • 17: Exploring Statistics Applet Exercises (3)

  • Chapter 18: Nonparametric Methods
    • 18.1: Sign Test (11)
    • 18.2: Wilcoxon Signed-Rank Test (9)
    • 18.3: Mann–Whitney–Wilcoxon Test (14)
    • 18.4: Kruskal–Wallis Test (8)
    • 18.5: Rank Correlation (10)
    • 18: Supplementary Exercises (16)

  • Chapter 19: Statistical Methods for Quality Control
    • 19.1: Philosophies and Frameworks
    • 19.2: Statistical Process Control (6)
    • 19.3: Acceptance Sampling (4)
    • 19: Supplementary Exercises (5)
    • 19: Exploring Statistics Applet Exercises (2)

  • Chapter 20: Index Numbers
    • 20.1: Price Relatives
    • 20.2: Aggregate Price Indexes (3)
    • 20.3: Computing an Aggregate Price Index from Price Relatives (3)
    • 20.4: Some Important Price Indexes
    • 20.5: Deflating a Series by Price Indexes (3)
    • 20.6: Price Indexes: Other Considerations
    • 20.7: Quantity Indexes (2)
    • 20: Supplementary Exercises (5)

  • Chapter 21: Decision Analysis (On Website)
    • 21.1: Problem Formulation
    • 21.2: Decision Making with Probabilities
    • 21.3: Decision Analysis with Sample Information
    • 21.4: Computing Branch Probabilities Using Bayes' Theorem
    • 21: Supplementary Exercises

  • Chapter 22: Sample Survey (On Website)
    • 22.1: Terminology Used in Sample Surveys
    • 22.2: Types of Surveys and Sampling Methods
    • 22.3: Survey Errors
    • 22.4: Simple Random Sampling
    • 22.5: Stratified Simple Random Sampling
    • 22.6: Cluster Sampling
    • 22.7: Systematic Sampling
    • 22: Supplementary Exercises


Get more out of your statistics course than simply solving equations! Statistics for Business and Economics, revised 13th edition, by David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Camm, and James Cochran, brings together more than twenty-five years of author experience, sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in the business world. Thoroughly updated, the text's more than 350 real business examples, cases, and memorable exercises, present the latest statistical data and business information with unwavering accuracy. It also gives you the most relevant text you can get for your course, including coverage of popular commercial statistical software programsMinitab 17 and Excel 2016. Optional chapter appendices, coordinating online data sets, and support materials such as the CengageNOW online course management system, make Statistics for Business and Economics, revised 13th edition, a customizable, efficient, and powerful approach to mastering the statistical concepts important to your success!

Features:
  • Read It links under each question quickly jump to the corresponding section of the eBook.
  • Master It Tutorials (MI) show how to solve a similar problem in multiple steps by providing direction along with derivation so students understand the concepts and reasoning behind the problem solving.
  • Exploring Statistics Applet problems ask students to answer questions using linked interactive statistical applets.
  • Students can Talk to a Tutor for additional assistance through a link at the assignment level.
  • All questions contain detailed solutions to the problem, available to students at your discretion.
  • PowerPoint Presentations, Figures and Tables, Solutions Manuals, Case Solutions, Test Banks, Tip Sheets (XLSTAT, Minitab17, Mintab Express, JMP, and SPSS), Video Channels (XLSTAT and Minitab), and Support Centers (XLSTAT, Minitab, JMP, and SPSS) are available as textbook resources for instructors.
  • Exploring Statistics Applets, Downloadable DATAfiles (Excel and CSV), Downloadable Online Chapters, Appendix B: Tables, Appendix D: Self-Test Solutions and Even-Numbered Answers, and Errata are available as textbook resources for students and instructors.

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Group Quantity Questions
Chapter 1: Data and Statistics
1.E 22 001 002 003 005 006 007 008 009.MI 010 011.MI 012 013 014 015.MI 017 018.MI 019 020 021 023 024 025
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
2.AQ 2 502 504
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Chapter 3: Descriptive Statistics: Numerical Measures
3.AQ 2 503 505
3.E 81 001 002 003 004 005.MI 006.MI 007 007.alt 009 009.alt 011 012 012.alt 013 014 015 016.MI 017 019 020 021 022 023 024 025.MI 026 026.alt 027 027.alt 028 029 030 031.MI 031.alt 033 034 035 036 037 038 039.MI 040.MI 041 042 043 044 045 046.MI 047 048 049 050 051.MI 052 053 053.alt 055 056.MI 057 057.alt 058 059 059.alt 061 062 063 063.alt 064 065.MI 065.alt 067 069 069.alt 070 070.alt 071 072 072.alt 073 074 075
Chapter 4: Introduction to Probability
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4.E 50 001.MI 002 003 004 005 006 007 008 009.MI 010 011 013 014 015 016 017 019.MI 021 022 023.MI 024 025 027 028.MI 029 030.MI 031 033 035 036 037 039.MI 040 041 042 043 045 047 048.MI 049 050 051 052 053 054 055 056 057.MI 059 060
Chapter 5: Discrete Probability Distributions
5.AQ 1 505
5.E 62 001 002 003 004 005 006 007 008 009.MI 010 011 012 013 014.MI 015.MI 016 017 018 019 020 021 022.MI 023 024 025 026 027.MI 028 029 030 031 032 033 035.MI 036 037 038 039 041.MI 043 044 045 046.MI 047 049 051 052 053 055 056.MI 057 059 061 062 063 065.MI 067 069 070.MI 071 072 073
Chapter 6: Continuous Probability Distributions
6.AQ 3 502a 502b 502c
6.E 39 001 002.MI 003 004 005 007 008 009 010 011 012 013.MI 014 015 016 017 018.MI 019 020 021 022 023.MI 025 026 027 028.MI 029 031 033 035.MI 037 039.MI 041 043 045 047.MI 049.MI 051.MI 053
Chapter 7: Sampling and Sampling Distributions
7.E 37 001 003 005.MI 007 009 011 013 015.MI 017 019 021 023 024 025 026 027.MI 028 029.MI 031 032 033.MI 034 035 037 038 039 041.MI 043.MI 045 046 047.MI 048 049 051.MI 052 053 054.MI
Chapter 8: Interval Estimation
8.AQ 9 501 502 502a 502b 502c 502d 502e 503 504
8.E 51 001 002.MI 003 004.MI 005 007 008 009 011.MI 012.MI 013 014 015.MI 016 017 017.alt 018 018.alt 019 021 021.alt 023 024.MI 025 026 027 029.MI 031 032 033 034 035.MI 036 037 039.MI 040 041 043 044.MI 045.MI 046 047 049 050.MI 051 052 053 054.MI 055 057.MI 059
Chapter 9: Hypothesis Tests
9.AQ 1 503
9.E 59 001 002 003 004 005 006 007 008 009.MI 010 011 012 013 014.MI 015 016 017 019 021 022 023.MI 024.MI 025 026 027.MI 028 029 030 031 032 033 034 035.MI 036.MI 037 038 039 040 041 042.MI 043 045 046.MI 047 049 051.MI 053 054 055.MI 057.MI 059 061.MI 063 065 067 069.MI 071 073 075.MI
Chapter 10: Inference About Means and Proportions with Two Populations
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Chapter 11: Inferences About Population Variances
11.AQ 2 501 502
11.E 37 001 002.MI 003.MI 004 005 006.MI 006.alt 007 009.MI 010 011 012 013 014.MI 015 016 017 018 019 019.alt 020 021.MI 021.alt 022 023 024.MI 025 025.alt 026 027.MI 028 029 030 031 032 033 034
Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
12.AQ 1 501
12.E 30 001 002.MI 003 004 005.MI 006 007 008 009 010 011 012 013 014 015 017.MI 019.MI 020 021 023 024 025 027 028 029 030.MI 031 032 033 035
Chapter 13: Experimental Design and Analysis of Variance
13.AQ 2 503a 503b
13.E 58 001 002.MI 003 004 005 006 006.alt 007 008 009.MI 010 010.alt 011 011.alt 012 012.alt 013.MI 014 015 016 017 018 019 020 020.alt 021 022 023.MI 024 025 025.alt 026.MI 026.alt 027 027.alt 028 029 030 031.MI 032 032.alt 033 034 035.MI 035.alt 036 036.alt 037 037.alt 038 038.alt 039 039.alt 040 041 041.alt 043.MI 044
Chapter 14: Simple Linear Regression
14.AQ 6 502 503 506 508 509a 509b
14.E 64 001 002 003 004 005 006 007 008 009 011 013.MI 015 016 017 018 019.MI 019.alt 020 021 023 024 025.MI 026 027 027.alt 028 028.alt 029.MI 031 031.alt 032 033 034 035.MI 036 037 038 039 040 041 042.MI 043 043.alt 044 044.alt 045 046 047 048.MI 049 049.alt 050 051 052 052.alt 053 053.alt 055 057 059 061 063 065 067
Chapter 15: Multiple Regression
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Chapter 16: Regression Analysis: Model Building
16.AQ 1 501
16.E 29 001 002 003 004 005 006 007 007.alt 008 008.alt 009 010.MI 011.MI 012 013 014 015 017 019 020 021 023 025 027 027.alt 029 031 033 035
Chapter 17: Time Series Analysis and Forecasting
17.AQ 3 501 502 503
17.E 72 001 002 003 004.MI 005 006 007 007.alt 008 008.alt 009 009.alt 010 011.MI 012 013 014 015 016 017 019 020 021 021.alt 022.MI 023 023.alt 025 025.alt 026 026.alt 027 027.alt 028 029 030 030.alt 031 031.alt 032 032.alt 033 033.alt 034 034.alt 035.MI 036 037 037.alt 038 038.alt 039 039.alt 040 040.alt 041 042 043 045 045.alt 046 047 048 049 049.alt 050 051 052 053 053.alt 054 055
Chapter 18: Nonparametric Methods
18.E 68 001 002 003 004 005 006 006.alt 007 008 009.MI 011 012 012.alt 013 013.alt 014 014.alt 015 015.alt 017 018 019 019.alt 020 021 021.alt 022 022.alt 023 023.alt 024 024.alt 025 025.alt 026 027 027.alt 028 029 029.alt 030.MI 031 032 033 034 034.alt 035 035.alt 036 036.alt 037 037.alt 038 039 040 040.alt 041 042 042.alt 043 043.alt 044 044.alt 045 045.alt 046 046.alt 047
Chapter 19: Statistical Methods for Quality Control
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19.E 15 001 003 004 005 007 009.MI 010 011 013 015 017 019 021 023 025.MI
Chapter 20: Index Numbers
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Chapter 21: Decision Analysis (On Website)
21 0  
Chapter 22: Sample Survey (On Website)
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