Stats Means Business

"Stats Means Business" is an introductory textbook aimed at Business Studies students who require guidance in the area of statistics. It minimizes technical language, provides clear definition of key terms, and gives emphasis to interpretation rather than technique. "Stats Means Business" enables readers to: appreciate the importance of statistical analysis in business; understand statistical techniques; develop judgment in the selection of appropriate statistical techniques; and, interpret the results of statistical analysis. There is an overwhelming need for successful managers to be able to deal competently with numerical information and this text is developed with this in mind by providing worked examples and review questions which are rooted in viable business contexts. Each chapter includes guidance on using Excel and Minitab to produce the analysis described and explained in the chapter. The start of every chapter identifies aims and summarizes content and each is written in an accessible style. Model solutions are provided for three problems in each chapter and further solutions are available on a web site to accompany the book. The book is suitable for first year undergraduate courses, MBA Programmes and anyone who needs support and guidance in the area of statistics. This book minimizes jargon and provides a clear definition of terms. It includes worked examples and review questions to consolidate learning. A web site providing additional support material accompanies the book.

ISBN 0750653647   Pages 384 ISBN13 9780750653640 (What's this?)   Volumes 1 Publisher Taylor & Francis Ltd   Weight (grammes) 884 Imprint Butterworth-Heinemann Ltd   Published in Oxford Format Paperback   Height (mm) 246 Publication date 05 Oct 2001   Width (mm) 189 Library of Congress 2001044094   Spine width (mm) 19 DEWEY 519.502465   Academic level Tertiary education DEWEY edition DC21

Starting Up; Presenting data; Summarizing univariate data; Summarizing bivariate data; Assessing risk; Putting probability to work; Simulating populations; Statistical decision making; Statistical decision making using bivariate data; Managing statistical research; Appendix.

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