An Introduction to Modern Business Statistics

by ;
Edition: 2nd
Format: Hardcover
Pub. Date: 1998-08-18
Publisher(s): Cengage Learning
List Price: $265.95

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Summary

Using the computer to eliminate rote computation and facilitate learning, this book inspires and motivates readers to learn statistics by showing them its great practical importance in their careers. In every chapter, the authors include an ample number of examples and vignettes that illustrate and emphasize skills that enable students to interpret data effectively and to convert data into usable information. This approach enhances students' abilities to make better decisions, thus preparing them to exert greater influence in their future careers. To reinforce the idea that statistics is the linkage that transforms data into useful information, thereby enhancing planning and decision making, almost every numbered example includes introductory language that articulates the importance of the illustration in a functional area of business.The authors use Microsoftr Excel, MINITAB, and JMP INr statistical software to execute statistical methods--presenting computer outputs and interpretation first; then illustrating the method using statistical tables. Chapter appendices provide clear, detailed instructions on the use of Excel, MINITAB, and JMP IN.

Table of Contents

Chapter 1 INTRODUCTION TO STATISTICS AND STATISTICAL THINKING
1(41)
Chapter 2 EXPLORING AND SUMMARIZING DATA
42(68)
Chapter 3 PROBABILITY, RANDOM VARIABLES, AND PROBABILITY DISTRIBUTIONS
110(1)
Chapter 4 SOME IMPORTANT PROBABILITY DISTRIBUTIONS
110(86)
Chapter 5 STATISTICS AND SAMPLING DISTRIBUTIONS
196(40)
Chapter 6 STATISTICAL INFERENCES FOR A SINGLE POPULATION OR PROCESS
236(50)
Chapter 7 STATISTICAL INFERENCES FOR TWO POPULATIONS OR PROCESSES
286(62)
Chapter 8 ANALYSIS OF VARIANCE
348(42)
Chapter 9 SIMPLE LINEAR REGRESSION ANALYSIS
390(62)
Chapter 10 MULTIPLE LINEAR REGRESSION
452(74)
Chapter 11 GOODNESS-OF-FIT PROCEDURES AND CONTINGENCY TABLES
526(30)
Chapter 12 TIME SERIES ANALYSIS AND FORECASTING
556(34)
Chapter 13 METHODS FOR PROCESS IMPROVEMENT AND STATISTICAL QUALITY CONTROL
590

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