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Business Statistics A Decision-Making Approach

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ISBN-10: 0132416921

ISBN-13: 9780132416924

Edition: 7th 2008

Authors: David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith

List price: $186.67
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Description:

This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.
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Book details

List price: $186.67
Edition: 7th
Copyright year: 2008
Publisher: Prentice Hall PTR
Publication date: 5/10/2007
Binding: Mixed Media
Pages: 1040
Size: 8.50" wide x 11.00" long x 1.50" tall
Weight: 5.236
Language: English

"PATRICK W. SHANNON, PH.D." is Professor of Production and Operations Management in the College of Business and Economics at Boise State University. He teaches graduate and undergraduate courses in business statistics, quality management, and production and operations management. In addition, Dr. Shannon has lectured and consulted in the statistical analysis and quality management areas for over 20 years. Listed among his consulting clients are Boise Cascade Corporation, Hewlett-Packard; PowerBar, Inc.; Potlatch Corporation; Woodgrain Millwork, Inc.; J.R. Simplot Company; Zilog Corporation; and numerous other public- and private-sector organizations. Professor Shannon has co-authored…    

The Where, Why and How of Data Collection
Graphs, Charts, and Tables ndash; Describing Your Data
Describing Data Using Numerical Measures
Introduction to Probability
Introduction to Discrete Probability Distributions
Introduction to Continuous Probability Distributions
Introduction to Sampling Distributions
Estimating Single Population Parameters
Introduction to Hypothesis Testing
Estimation and Hypothesis Testing for Two Population Parameters
Hypothesis Tests for One and Two Population Variances
Analysis of Variance
Goodness-of-Fit Tests and Contingency Analysis
Introduction to Linear Regression and Correlation Analysis
Multiple Regression and Model Building
Analyzing and Forecasting Time-Series Data
Introduction to Nonparametric Statistics
Introduction to Quality and Statistical Process Control
Introduction to Decision Analysis