Practical Business Statistics

ISBN-10: 0123852080

ISBN-13: 9780123852083

Edition: 6th 2012

Authors: Andrew F. Siegel

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Practical Business Statistics was written as a response to instructors who need a book that motivates business students to learn by showing how each concept and method can be used by managers in the real world, with many current data examples from business and government web sites presented in a well-written and lively style. Examples are from finance, sales, accounting, advertising, planning, marketing, and other areas of business. Each chapter begins with an overview, showing why the subject is important to business, and ends with a comprehensive summary, with key words, before the questions, problems, database exercises, projects, and cases. The projects at the end of each chapter bring statistics closer to students' needs and interests by letting them choose the data set from their work experience (or interests from sources including the Internet, current publications, or their company) while the cases encourage students to think about deeper applications of statistics. Users and reviewers have applauded Siegel's writing style and clear explanations. While technically accurate, the book is light on mathematical details, and instead concentrates on the understanding and use of statistics by managers.Diverse examples with actual data helps motivate students by showing how statistics is used to help managers understand dataDirect and informal writing style, while maintaining technical rigorCases show how statistical thinking can be useful as an integrated part of a larger business activityEnd of Chapter Materials reinforce learning with summary, key words, questions, problems, database exercises, and projects
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Book details

List price: $99.95
Edition: 6th
Copyright year: 2012
Publisher: Elsevier Science & Technology Books
Publication date: 1/25/2011
Binding: Hardcover
Pages: 640
Size: 9.00" wide x 11.50" long x 1.25" tall
Weight: 4.664
Language: English

Introduction: Defining the Role of Statistics in Business
Data Structures: Classifying the Various Types of Data Sets
Histograms: Looking At the Distribution of Data
Landmark Summaries: Interpreting Typical Values And Percentiles
Variability: Dealing with Diversity
Probability: Understanding Random Situations
Random Variables: Working with Uncertain Numbers
Random Sampling: Planning Ahead for Data Gathering
Confidence Intervals: Admitting That Estimates Are Not Exact
Hypothesis Testing: Deciding Between Reality And Coincidence
Correlation And Regression: Measuring And Predicting Relationships
Multiple Regression: Predicting One Factor From Several Others
Report Writing: Communicating the Results of A Multiple Regression
Time Series: Understanding Changes Over Time
Anova: Testing for Differences Among Many Samples, And Much More
Nonparametrics: Testing with Ordinal Data or Nonnormal Distributions
Chi-Squared Analysis: Testing for Patterns in Qualitative Data
Quality Control: Recognizing And Managing Variation
Employee Database
Donations Database
Self-Test: Solutions to Selected Problems And Database Exercises
Statistical Tables
Statpad Quick Reference Guide
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