Applied Business Statistics: Making Better Business Decisions, 7Th Ed, Isv
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Applied Business Statistics: Making Better Business Decisions, 7Th Ed, Isv

Applied Business Statistics: Making Better Business Decisions, 7Th Ed, Isv


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About the Book

Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas.

About the Author

Ken Black is currently Professor of Decision Sciences in the School of Business and Public Administration at the University of Houston-Clear Lake. Born in Cambridge, Massachusetts and raised in Missouri, he earned a Bachelor's degree in mathematics from Graceland College, a Master's degree in math education from the University of Texas at El Paso, a Ph.D. in business administration in management science, and a Ph.D. in educational research from the University of North Texas. Since joining the faculty in 1979, Professor Black has taught all levels of statistics courses, forecasting, management science, market research, and production/operations management. He published fifteen journal articles and over twenty professional papers, as well as two textbooks: Business Statistics: An Introductory Course and Business Statistics: Contemporary Decision Making. Black has consulted for many different companies, including Aetna, City of Houston, NYLCare, At&T, Johnson Space Center, Southwest Information resource, Connect Corporation, and Eagle Engineering.



Table of Contents:
INTRODUCTION 1 What Is Statistics Decision Dilemma: Statistics Describe the State of Business in India's Countryside 2 Visualizing the Data Decision Dilemma: Container Shipping Companies 3 Describing Data Through Statistics Decision Dilemma: Laundry Statistics 5 Discrete Probability Distributions Decision Dilemma: Life with a Cell Phone 6 Continuous Probability Distributions Decision Dilemma: The Cost of Human Resources 7 Distributions of the Sample Mean and Sample Proportion and Sampling Techniques Decision Dilemma: What Is the Attitude of Maquiladora Workers? 8 Estimating Parameters for Single Populations Decision Dilemma: Compensation for Purchasing Managers 9 Testing Hypotheses about Single Population Parameters Decision Dilemma: Word-of-Mouth Business Referrals and Influentials 10 Analyzing the Differences in Two Populations Decision Dilemma: Online Shopping 11 Analysis of Variance Decision Dilemma: Job and Career Satisfaction of Foreign Self-Initiated Expatriates 12 Introduction to Regression Analysis and Correlation Decision Dilemma: Predicting International Hourly Wages by the Price of a Big Mac 13 Basic Multiple Regression Analysis Decision Dilemma: Are You Going to Hate Your New Job? 14 Advanced Multiple Regression Analysis Decision Dilemma: Determining Compensation for CEOs 15 Forecasting Decision Dilemma: Forecasting Air Pollution 16 Chi-Square Analysis Decision Dilemma: Selecting Suppliers in the Electronics Industry 17 Analyzing Data Using Nonparametric Statistics Decision Dilemma: How Is the Doughnut Business? 18 Quality Decision Dilemma: Italy's Piaggio Makes a Comeback 19 Decision Analysis C19-2 Decision Dilemma: Decision Making at the CEO Level C19-3 APPENDICES A Tables B Answers to Selected Odd-Numbered Quantitative Problems GLOSSARY INDEX SUPPLEMENTS 1 Summation Notation S1-1 2 Derivation of Simple Regression Formulas for Slope and y Intercept S2-1 3 Advanced Exponential Smoothing S3-1 Exponential Smoothing with Trend Effects: Holt's Method S3-1 Exponential Smoothing with Both Trend and Seasonality: Winter's Method S3-2 Some Practice Problems S3-5


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Product Details
  • ISBN-13: 9788126537075
  • Publisher: Wiley India Pvt Ltd
  • Binding: Paperback
  • Language: English
  • ISBN-10: 8126537078
  • Publisher Date: 2012
  • Edition: 7
  • No of Pages: 876

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