Statistics for Business Decision Making and Analysis

ISBN-10: 0321123913
ISBN-13: 9780321123916
Edition: 2011
List price: $205.33
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Description: Normal 0 false false false KEY BENEFIT: Suitable for students at the undergraduate, graduate, or MBA level,Statistics for Business: Decision Making and Analysisequips students with the most important skill theyrsquo;ll need in the business world  More...

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Book details

List price: $205.33
Copyright year: 2011
Publisher: Addison Wesley
Publication date: 1/3/2010
Binding: Hardcover
Pages: 832
Size: 8.75" wide x 11.00" long x 1.25" tall
Weight: 4.444
Language: English

Normal 0 false false false KEY BENEFIT: Suitable for students at the undergraduate, graduate, or MBA level,Statistics for Business: Decision Making and Analysisequips students with the most important skill theyrsquo;ll need in the business world using statistics to make better business decisions. In the competitive world of business, effective decision making is crucial. To help your students stand out from the crowd, Robert Stine and Dean Foster of the Wharton School of the University of Pennsylvania have written an exciting new book for business statistics. This book teaches students how to use data to make informed decisions; every chapter highlights issues in the modern business world. The authors provide strong connections between the statistical concepts they introduce in the text and the problems students will face in the business world, showing students how to find patterns, create statistical models from the data, and deliver their findings to an audience. KEY TOPICS: VARIATION IN DATA, Introduction, Data, Describing categorical data, Describing numerical data, Association in categorical data, Association in numerical data; PROBABILITY, Probability, Conditional Probability, Random Variables, Association between Random Variables, Probability models for Counts, Normality; INFERENCE, Samples and Surveys, Sampling Variation and Quality, Confidence Intervals, Hypothesis Tests, Alternative Approaches to Inference, Comparison; REGRESSION MODELS, Linear Patterns, Curved Patterns, Simple Regression, Regression Diagnostics, Multiple Regression, Building Regression Models, Categorical Explanatory Variables, Analysis of Variance, Time Series MARKET: For all readers interested in business statistics.

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