Nelson Higher Education

Higher Education

Statistics for Management and Economics, Abbreviated Edition, 9th Edition

  • includes Essential Textbook Resources Printed Access Card
  • Gerald Keller
  • ISBN-10: 1111527326
  • ISBN-13: 9781111527327
  • 784 Pages | Hardcover
  • Previous Editions: 2009, 2007, 2004
  • COPYRIGHT: 2012 Published
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Overview

About the Product

STATISTICS FOR MANAGEMENT AND ECONOMICS, 9E, demonstrates how vital statistical methods are for today's managers and economists--and teaches students how to apply these tools to real-world business problems. Using an "ICI" approach--Identify, Compute, and Interpret--students quickly comprehend concepts while you are offered maximum flexibility. The text incorporates various functional areas of business, data-driven examples, and exercises, and cases demonstrate statistical applications used in finance, marketing, operations, human resources, and accounting. Unique teaching and learning resources such as CourseMate save you time while providing control and better student outcomes. The ninth edition also includes Excel® 2010 and Minitab 15 content.

Features

  • Many of the examples, exercises, and cases using real-world data in the eighth edition have been updated. These include the data on wins, payrolls, and attendance in baseball, basketball, football, and hockey; returns on stocks listed on the New York Stock Exchange, on NASDAQ, and on the Toronto Stock Exchange; and global warming.

  • Students can convert real-world data into information using six large real-world datasets, which are the sources of 150 new exercises. You can use the datasets for hundreds of additional examples and exercises.

  • A new "Do-It-Yourself Excel" workbook has students computing confidence interval estimators and hypothesis tests on their own. There are many new examples and exercises.

About the Author

Gerald Keller

Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.

Table of Contents

1. What Is Statistics?
Key Statistical Concepts. Statistical Applications in Business. Statistics and the Computer. World Wide Web and Learning Center.
Appendix 1: Instructions for the CD-ROM.
2. Graphical Descriptive Techniques I.
Types of Data and Information. Describing a Set of Nominal Data. Describing the Relationship between Two Nominal Variables and Comparing Two or More Nominal Data Sets.
3. Graphical Descriptive Techniques II.
Graphical Techniques to Describe a Set of Interval Data. Describing Time-Series Data. Describing the Relationship between Two Interval Variables. Art and Science of Graphical Presentations.
4. Numerical Descriptive Techniques.
Measures of Central Location. Measures of Variability. Measures of Relative Standing and Box Plots. Measures of Linear Relationship. APPLICATIONS IN PROFESSIONAL SPORTS: Baseball. APPLICATIONS IN FINANCE: Market Model. Comparing Graphical and Numerical Techniques. General Guidelines for Exploring Data.
Appendix 4: Review of Chapters 2 to 4.
5. Data Collection and Sampling.
Methods of Collecting Data. Sampling. Sampling Plans. Sampling and Nonsampling Errors.
6. Probability.
Assigning Probability to Events. Joint, Marginal, and Conditional Probability. Probability Rules and Trees. Bayes' Law. Identifying the Correct Method.
7. Random Variables and Discrete Probability Distributions.
Random Variables and Probability Distributions. Bivariate Distributions. APPLICATIONS IN FINANCE: Investment Portfolio Diversification and Asset Allocation. Binomial Distribution. Poisson Distribution.
8. Continuous Probability Distributions.
Probability Density Functions. Normal Distribution. Exponential Distribution. Other Continuous Distributions.
9. Sampling Distributions.
Sampling Distribution of the Mean. Sampling Distribution of a Proportion. Sampling Distribution of the Difference between Two Means. From Here to Inference.
10. Introduction to Estimation.
Concepts of Estimation. Estimating the Population Mean When the Population Standard Deviation Is Known. Selecting the Sample Size.
11. Introduction to Hypothesis Testing.
Concepts of Hypothesis Testing. Testing the Population Mean When the Population Standard Deviation Is Known. Calculating the Probability of a Type II Error. The Road Ahead.
12. Inference about One Population.
Inference about a Population Mean When the Standard Deviation is Unknown. Inference about a Population Variance. Inference about a Population Proportion. APPLICATIONS IN MARKETING: Market Segmentation.
13. Inference about Two Populations.
Inference about the Difference between Two Means: Independent Samples. Observational and Experimental Data. Inference about the Difference between Two Means: Matched Pairs Experiment. Inference about the Ratio of Two Variances. Inference about the Difference between Two Population Proportions. Appendix 13: Review of Chapters 12 and 13.
14. Analysis of Variance.
One-Way Analysis of Variance. Multiple Comparisons. Analysis of Variance Experimental Designs. Randomized Blocks (Two Way) Analysis of Variance. Two-Factor Analysis of Variance. APPLICATIONS IN OPERATIONS MANAGEMENT: Finding and Reducing Variation. Appendix 14: Review of Chapters 12 to 14.
15. Chi-Squared Tests.
Chi-Squared Goodness-of-Fit Test. Chi-Squared Test of a Contingency Table. Summary of Tests on Nominal Data. Chi-Squared Test for Normality. Appendix 15: Review of Chapters 12 to 15.
16. Simple Linear Regression.
Model. Estimating the Coefficients. Error Variable: Required Conditions. Assessing the Model. Using the Regression Equation. Regression Diagnostics − I. Appendix 16: Review of Chapters 12 to 16.
17. Multiple Regression.
Model and Required Conditions. Estimating the Coefficients and Assessing the Model. Regression Diagnostics − II. Regression Diagnostics- III (Time Series). Appendix 17 Review of Chapters 12 to 17.
Appendix A: Data File Sample Statistics.
Appendix B: Tables.
1. Binomial Probabilities.
2. Poisson Probabilities.
3. Normal Probabilities.
4. Critical Values of t.
5. Critical Values of x2.
6. Critical Values of F.
7. Critical Values of the Studentized Range.
8. Critical Values for the Durbin-Watson Statistic.
Appendix C: Answers to Selected Even-Numbered Exercises.

New to this edition

  • Students can convert real-world data into information using six large datasets, which are the sources of 150 new exercises. You can use the datasets for hundreds of additional examples and exercises. Many of the examples, exercises, and cases using real-world data in the eighth edition have been updated. These include the data on wins, payrolls, and attendance in baseball, basketball, football, and hockey; returns on stocks listed on the New York Stock Exchange, on NASDAQ, and on the Toronto Stock Exchange; and global warming.
  • Chapter 2 in the eighth edition, which presented graphical techniques, has been divided into Chapters 2 and 3 for the ninth edition. Chapter 2 describes graphical techniques for nominal data, and Chapter 3 presents graphical techniques for interval data. Some of the material in the eighth edition's Chapter 3 has been incorporated into the new Chapter 3.
  • Section 12.5, Applications in Accounting: Auditing, and Section 18.4, Logistic Regression, was removed to make room for new additional exercises. You can download them from the CourseMate site.
  • The Excel® workbooks that had students compute confidence interval estimators and hypothesis tests have been replaced with subsections that teach students to do it on their own. This section is called "Do-It-Yourself Excel." There are many new examples and exercises.

Supplements

All supplements have been updated in coordination with the Main title.
Please see Main title page for new to this edition information.

Instructor Supplements

CengageNOW and Essential Textbook Resources Instant Access Code  (ISBN-10: 1111354626 | ISBN-13: 9781111354626)
Business Statistics CourseMate with eBook Instant Access Code  (ISBN-10: 1111746583 | ISBN-13: 9781111746582)

Cengage Learning's CourseMate brings course concepts to life with interactive learning, study, and exam preparation tools that support the printed textbook. Maximize your course success with the integrated eBook and chapter-specific learning tools that include flashcards, quizzes, videos, and more in your CourseMate. Key Features: Interactive eBook, Engagement Tracker, Learning Objectives, Tutorial Quizzes, Glossary and Flashcards, and Web Links and References.

Student Supplements

Aplia, 2 terms Instant Access  (ISBN-10: 1111676402 | ISBN-13: 9781111676407)

Succeed in your course with 2 semesters of access to Aplia's interactive learning system--featuring practice problems with immediate feedback and tools developed specifically for STATISTICS FOR MANAGEMENT AND ECONOMICS, 9th Edition, including step-by-step explanations that help you improve your reasoning and skills, interactive assignments that help you understand difficult or counterintuitive concepts, and more. Aplia has already helped more than a million students succeed in college classes.

CengageNOW and Essential Textbook Resources Instant Access Code  (ISBN-10: 1111354626 | ISBN-13: 9781111354626)

Succeed in your statistics course with CengageNOW™, a powerful online homework tool that optimizes your learning experience. This interactive system generates a diagnostic Personalized Study Plan (with a chapter-specific Pre-test, Study Plan, and Post-test) to help you master concepts, prepare for exams, and get a better grade.

Business Statistics CourseMate with eBook Instant Access Code  (ISBN-10: 1111746583 | ISBN-13: 9781111746582)

Cengage Learning's Business Statistics CourseMate brings course concepts to life with interactive learning, study, and exam preparation tools that support the printed textbook. Access an integrated eBook, learning tools including flashcards, quizzes, and more, all designed specifically to work with STATISTICS FOR MANAGEMENT AND ECONOMICS, 9th Edition.