An Introduction to Modern Business Statistics

by Canavos, George; Miller, Don M.

• ISBN13: 9780534358198
• ISBN10: 0534358195
• Edition: 2nd
• Format: Hardcover
• Copyright: 1998-08-18
• Publisher: Cengage Learning
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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