- Trusted, Expert Authors: As prominent, respected leaders and active business consultants in statistics, authors David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams provide an accurate, thorough, reliable presentation of the concepts with every edition of the text..
- Useful Cumulative Standard Normal Distribution Table: This important table prepares students to use computer software in statistics by introducing normal distribution probabilities, and helps first-time users calculate normal probability and p-values for hypothesis testing..
- Leading Approaches, Proven Methods: A hallmark strength of the text, the problem-scenario approach shows students the practical side of techniques through the use of applications, providing ins into business decision-making and how statistics influences them. Further, the authors' systematic approach to learning statistics, which involves first developing a computational foundation and techniques before moving on to application and interpretation, helps students better understand the material..
- CengageNOWTM Course Management Tool: This robust, online course management system gives you more control in less time and delivers better student outcomes. It includes teaching and learning resources organized around lecturing, creating assignments, grading, quizzing, and tracking student progress and performance. Flexible assignments, automatic grading, and a gradebook option provide more control while saving valuable preparation time for you, while a Personalized Study diagnostic tool empowers students to master concepts, prepare for exams, and become more involved in class..
- Simplified Introduction to P-Values: Emphasizing the use of p-values as the preferred approach to hypothesis testing, the authors now separate a simplified conceptual definition of p-values from operational definitions that clarify how the p-value is computed for a lower-tail test, an upper-tail test, and a two-tail test. Students also learn how to use software to compute p-values, and an available, optional appendix clearly demonstrates how to use Minitab® and Excel® to compute p-values associated with z, t, and F test statistics..
Simply put, the revised, 11th edition of Statistics for Business and Economics is powerful. The authors bring more than
twenty-five years of unmatched experience to this text, along with 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. And, to give
you the most relevant text you can get for your course, you select the topics you want, including coverage of popular
commercial statistical software programs like Minitab® 16 and Excel® 2010, along with StatTools® and other leading
Excel® 2010 statistical add-ins.
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About This Edition
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New Features
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* Updated and Upsized Excel® Coverage
Get the latest coverage of Excel® 2010 and related materials throughout the text, including revised, end-of-chapter
appendices on Chart Tools, PivotTable Report, and PivotChart Report, as well as spreadsheets, dialog boxes, examples,
screen s, and more. Plus, expanded Excel® coverage is available as optional appendices to the text. Choose
Microsoft® Excel® 2010 and Minitab® 16, as well as popular Excel® add-ins PrecisionTree® 2010 and StatTools® 2010.
* Revised, Rewritten, and Refocused Chapters
Students will get more out of the statistics course with an enhanced chapter on Nonparametric Methods and their
Counterparts, which includes new appendices for use with Minitab®, Excel®, and StatTools®. A clarified chapter on Time
Series Analysis and Forecasting helps students select the right forecasting method, while the chapter on Sampling
Material now addresses sampling populations and frames, and offers a practical advice section.
* Emerging Fields, Emerging Issues
A new introduction to data mining and data warehousing examines the importance of this relatively new field and how it
relies on statistics and computer science to create value for businesses. And, as ethical issues become increasingly
significant for modern businesses, the text's authors respond with new material that addresses professional
responsibility in presenting and interpreting statistical information.
* Improved Clarity and Ease of Understanding
Revising with students in mind, the authors have simplified coverage of box plots to emphasize quick and easy
comparisons between two or more data sets. Students will also appreciate clarifications to discussions on hypothesis
testing, including identifying the null and alternative hypotheses, and helpful changes in terminology to more
accurately describe data.
* Added Case Problems, Features, Examples, and More
Several new case problems allow students to analyze a variety of data and prepare managerial reports, while "Statistics
in Practice" vignettes grab students' attention at the start of each chapter and set the pace for the topics that
follow. The more than 350 real data examples and exercises throughout the text--150 of which are new to this
edition--come from world-class sources such as The Wall Street Journal, USA Today, and Barron's, and demonstrate the
importance of statistical analysis in business and economics today.
Additional Features
-------------------
* Useful Cumulative Standard Normal Distribution Table
This important table prepares students to use computer software in statistics by introducing normal distribution
probabilities, and helps first-time users calculate normal probability and p-values for hypothesis testing.
* Trusted, Expert Authors
As prominent, respected leaders and active business consultants in statistics, authors David R. Anderson, Dennis J.
Sweeney, and Thomas A. Williams provide an accurate, thorough, reliable presentation of the concepts with every edition
of the text.
* Leading Approaches, Proven Methods
A hallmark strength of the text, the problem-scenario approach shows students the practical side of techniques through
the use of applications, providing ins into business decision-making and how statistics influences it. Further, the
authors' systematic approach to learning statistics, which involves first developing a computational foundation and
techniques before moving on to application and interpretation, helps students better understand the material.
* Simplified Introduction to P-Values
Emphasizing the use of p-values as the preferred approach to hypothesis testing, the authors now separate a simplified
conceptual definition of p-values from operational definitions that clarify how the p-value is computed for a lower-tail
test, an upper-tail test, and a two-tail test. Students also learn how to use software to compute p-values, and an
available, optional appendix clearly demonstrates how to use Minitab® and Excel® to compute p-values associated with z,
t, and F test statistics.