Statistics for Business: Decision Making and Analysis

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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 in the text and the problems students will face in their future careers, showing students how to find patterns, create statistical models from the data, and deliver their findings to an audience. Features By focusing on answering real questions with data, students learn how to use statistical models and draw conclusions. About the Data sections at the end of each chapter provide the sources of the data in the chapter and areas for further research. The ‘Four M’ approach to problem solving (Motivation, Method, Mechanics, Message) is the consistent methodology used for worked-out examples. This approach gives students a consistent structure for solving problems and presenting their findings in the appropriate context. Table Of Contents Part I: Variation in Data Introduction Data Describing categorical data Describing numerical data Association in categorical data Association in numerical data Part II: Probability Probability Conditional Probability Random Variables Association between Random Variables Probability models for Counts NormalityPart III: Inference Samples and Surveys Sampling Variation and Quality Confidence Intervals Statistical Tests Alternative Approaches to Inference Comparison Part IV: Regression Models Linear Patterns Curved Patterns Simple Regression Regression Diagnostics Multiple Regression Building Regression Models Categorical Explanatory Variables Analysis of Variance Time Series