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# First Course in Business Statistics -Text Only - 8th edition

## by James T. McClave, P. George Benson and Terry L. Sincich

Summary: Designed for students with a background in basic algebra, this best-selling introduction to statistics for business and economics text emphasizes inference--with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and to make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and the value of inferences made from data--both by those who consume and those who produce them--and features numerous case studies, examples, and exercises--that draw on real business situations and recent economic events.
Features

• NEW - New topics--On detecting outliers, and graphing bivariate relationships (Ch. 2); assessing whether or not a data set comes from a normal population (Ch. 5); regression diagnostics (e.g., detecting heteroscedastic errors) (Ch. 11).
• NEW - Streamlined coverage of multiple regression--Now combined into a single chapter, with initial emphasis on the first-order model, and more complex models presented in increasing order of difficulty.
• Aides student comprehension of difficult topics. Ex.___
• NEW - --New/updated problems--20% more with extensive use; real data pulled from journals, newspapers, magazines and other sources.
• Enable students to see how statistics is used in everyday situations. Ex.___
• Emphasis on interpretation of results (not calculations).
• Helps students see practical application of data. Ex.___
• A choice in the level of coverage of probability--Unlike other introductory texts which mix probability and counting rules, this text includes the counting rules in a separate and optional section at the end of the chapter on probability. All exercises that require the use of counting rules are marked with an asterisk.
• Extensive, accessible coverage of regression analysis--With three chapters covering simple regression, multiple regression, and model building. Discusses the major types of inferences that can be derived from a regression analysis--showing how these results appear in computer printouts and selecting multiple regression models to be used in an analysis.
• Provides students content that is understandable, usable, and much more comprehensive than the presentations in other introductory statistics texts. Ex.___
• Statistics in Action Cases--Two or three per chapter. Introduces students to real-world, high profile, contemporary, controversial business, economic, government, or entertainment issues that involve statistics.
• Allows students to apply ideas from several chapters and to see how statistics can provide answers to real-life questions. Ex.___
• Computer output--Makes heavy use throughout of statistical computer software--with printouts from SAS, MINITAB, SPSS, Excel, and STATISM.
• An abundance of "real data" exercises--Labeled by type and illustrating applications in almost all areas of research. All exercise sections are divided into two parts: Learning the Mechanics (straightforward applications of new concepts that test students' ability to comprehend a concept or a definition); Applying the Concepts (based on applications and real data taken from a wide variety of contemporary journals, newspapers, magazines, and other sources and designed to help students' develop skills at comprehending real-world problems that describe situations to which the techniques may be applied).
• Six extensive business problem-solving cases--Show Cases, with real data and assignments.
• Provides a real-world perspective. Ex.___
• Six Internet Labs.
• Helps students retrieve and download raw data from the Internet for analysis. Ex.___
• Focus questions.
• Prompts students to form their own conclusions and to think through the statistical issues involved. Ex.___
• Quick Review --Includes a list of key terms, formulas, and symbols/definitions, with page number references; Language Lab that helps students learn the language of statistics through pronunciation guides, descriptions of symbols, names, etc.; Supplementary Exercises that review all of the important topics covered in the chapter.

New To This Edition
• New topics--On detecting outliers, and graphing bivariate relationships (Ch. 2); assessing whether or not a data set comes from a normal population (Ch. 5); regression diagnostics (e.g., detecting heteroscedastic errors) (Ch. 11).
• Streamlined coverage of multiple regression--Now combined into a single chapter, with initial emphasis on the first-order model, and more complex models presented in increasing order of difficulty.
• Aides student comprehension of difficult topics. Ex.___
• --New/updated problems--20% more with extensive use; real data pulled from journals, newspapers, magazines and other sources.
• Enable students to see how statistics is used in everyday situations. Ex.___
...show less

Cover: Hardback
Publisher: Prentice Hall, Inc.
Year Published: 2001
International: No

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