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BUSINESS STATISTICS: DECISION MAKING WITH DATA

Richard A. Johnson, University of Wisconsin, Madison
Dean W. Wichern, Texas A & M University
ISBN: 0-471-59213-7, 704 Pages, Cloth, 1997


Description:

Effective management decision making requires operating experience with quantitative information and analysis. Johnson and Wichern's new business statistics text offers students experience in dealing with real data and numerous opportunities to see how data analysis and inference can effect sound business decisions. "Statistics in Context" sections in each chapter present a set of real data and a complete case description from prominent international businesses and let students see how these executives use statistical tools in day to day operations. Students are offered realistic learning environments where introductory methods are used in real business problems and decision-oriented interpretation of analysis performed.

The text casts statistical methods as useful tools for generating, summarizing, and analyzing numerical information with the general goal of improving processes and products, and adding economic value to the organization. Examples, exercises and cases reinforce the assumption that statistical thinking is an important part of competitively driven decision making. They depict the firm as a system susceptible to analysis for understanding and improving its processes through the use of statistics. Johnson and Wichern indicate how the material in this book "fits into the larger organizational picture," and attempt to emphasize the "why" more than the "how."

Business Statistics is organized into six topical areas: 1) Data description and summary, 2) Data Collection, 3) Foundations for inference (probability rules and distributions) 4) Inferences about means and proportions, 5) Linear Models, 6) Statistics and Management. There is more than enough material for a quarter or one semester course. The flexible organization allows an instructor to change or abbreviate the Table of Contents in many ways, some of which are suggested in the preface. Ideal for a one or two semester course in business statistics at the undergraduate or MBA level.

Features:

Supplements:

Table of Contents

1. Introduction
2. Describing Patterns in Data
3. Organizing Data: Association and Relationships
4. Collecting Data
5. Probability
6. Random Variables and Probability Distributions
7. Continuous Random Variables and Sampling Distributions
8. From Samples to Populations: Inferences About Means
9. Comparing Means
10. Analyzing Count Data
11. Simple Linear Regression
12. Multiple Linear Regression and Time Series Models
13. Management and Statistics
Appendices
Tables
Answers to Selected Exercises
Index