Statistics for Managers Using Microsoft Excel (2nd Edition)

David M. Levine

ISBN 10: 0130203122 / ISBN 13: 9780130203120

Published by Prentice Hall, 1999

About this Item

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 5.

Seller Inventory # G0130203122I3N00

Bibliographic Details

• Title: Statistics for Managers Using Microsoft Excel (2nd Edition)
• Publisher: Prentice Hall
• Publication Date: 1999
• Language: English
• ISBN 10: 0130203122
• ISBN 13: 9780130203120
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Good
• Dust Jacket Condition: No Jacket

About this title

Synopsis

Focuses on how desktop productivity tools, have altered managers decision-making processes. Designed to increase emphasis on statistical thinking & the interpretation of computer output & decrease the emphasis on calculations. Describes how to quickly generate Excel solutions. CD-ROM included. DLC: Microsoft Excel (Computer file).

From the Back Cover

Updating instructions to Excel 97, this hands-on guide provides an integration of statistical analysis with the spreadsheet application software Microsoft Excel, offering step-by-step, detailed coverage of the use of this powerful software for every statistical topic covered in the book. Includes numerous illustrations of Excel output throughout the chapters and many Excel dialog boxes to help guide users through the use of Microsoft Excel for statistical analysis, and contains a supplementary tutorial chapter "Using Microsoft Excel for Statistical Analysis". Focuses on the concepts and applications of statistics to the functional areas of business, i.e., accounting, economics and finance, management, and marketing, and features a multitude of problems, case studies, and team projects. Now opens each chapter with a "Using Statistics Business" scenario - an example that illustrates the use of at least one of the statistical methods covered in the chapter in accounting, finance, management, or marketing. Also offers additional coverage of multiple regression, includes a new chapter on decision making, and examines a variety of important business applications, including principles of graphical excellence, sampling in auditing, and the application of the covariance in finance. A running Springville Herald case provides an integrated theme.