Statistical Thinking in Business 2nd Edition by John, Whitaker, Johnson 9781420057164 1420057162
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ISBN 10: 1420057162
ISBN 13: 9781420057164
Author: J. A. John, D. Whitaker, D.G. Johnson
Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in Business, Second Edition responds to the growing recognition that we must change the way business statistics is taught. It shows how statistics is important in all aspects of business and equips students with the skills they need to make sensible use of data and other information. The authors take an interactive, scenario-based approach and use almost no mathematical formulas, opting to use Excel for the technical work. This allows them to focus on using statistics to aid decision-making rather than how to perform routine calculations. New in the Second Edition A completely revised chapter on forecasting Re-arrangement of the material on data presentation with the inclusion of histograms and cumulative line plots A more thorough discussion of the analysis of attribute data Coverage of variable selection and model building in multiple regression End-of-chapter summaries More end-of-chapter problems A variety of case studies throughout the book The second edition also comes with a wealth of ancillary materials provided on downloadable resources packaged with the book. These include automatically-marked multiple-choice questions, answers to questions in the text, data sets, Excel experiments and demonstrations, an introduction to Excel, and the StiBstat Add-In for stem and leaf plots, box plots, distribution plots, control charts and summary statistics.
Table of contents:
Chapter 1: Variation
Chapter 2: Problem Solving
Chapter 3: Looking at Data
Chapter 4: Modelling Data
Chapter 5: Attribute Data
Chapter 6: Sampling
Chapter 7: Estimation
Chapter 8: Regression Analysis
Chapter 9: Multiple Regression
Chapter 10: Forecasting
Chapter 11: Statistical Process Control
Chapter 12: Control Charts
Chapter 13: Improvement Strategies
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Tags: John, Whitaker, Johnson, Statistical, Business