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Essentials of Statistics for Business and Economics

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ISBN-10: 0538754575

ISBN-13: 9780538754576

Edition: 6th 2011

Authors: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

List price: $376.95
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Book details

List price: $376.95
Edition: 6th
Copyright year: 2011
Publisher: Cengage South-Western
Publication date: 9/24/2010
Binding: Hardcover
Pages: 720
Size: 8.50" wide x 10.50" long x 1.25" tall
Weight: 3.080
Language: English

Stephen Stoker of Weber State University in Ogden, UT, has taught the gamut of introductory chemistry courses, specializing in GOB, for the past 30 years. Weber State has a very large Health Professions school, and GOB is geared at students with little or no experience in chemistry (notably Allied Health and Nursing majors).Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first…    

Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have…    

Data and Statistics
Descriptive Statistics: Tabular and Graphical Presentations
Descriptive Statistics: Numerical Measures
Introduction to Probability
Discrete Probability Distributions
Continuous Probability Distributions
Sampling and Sampling Distributions
Interval Estimation
Hypothesis Tests
Comparisons Involving Means, Experimental Design, and Analysis of Variance
Comparisons Involving Proportions and a Test of Independence
Simple Linear Regression
Multiple Regression
References and Bibliography
Tables
Summation Notation
Self-Test Solutions and Answers to Even-Numbered Exercises
Using Excel Functions
Computing p-Values Using Minitab and Excel