Statistics for Business and Economics (With Student CD-ROM, Ipod Key Term, and Infotrac)

ISBN-10: 0324380259

ISBN-13: 9780324380255

Edition: 9th 2005

List price: $235.95 Buy it from $3.00
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Description:

This market leading text offers proven, comprehensive, applications-oriented approach. Written by authors who are highly regarded in the field, the text provides sound methodological development. The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems. Statistics for Business and Economics, 9e offers proven accuracy that has led instructors to adopt it simply for its superior examples and exercises alone.
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Book details

List price: $235.95
Edition: 9th
Copyright year: 2005
Publisher: Cengage South-Western
Publication date: 11/28/2005
Binding: Hardcover
Pages: 1000
Size: 8.00" wide x 10.25" long x 1.50" tall
Weight: 4.642
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 Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.

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 funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

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 Testing
Statistical Inference about Means and Proportions with Two Populations
Inferences about Population Variances
Tests of Goodness of Fit and Independence
Analysis of Variance and Experimental Design
Simple Linear Regression
Multiple Regression
Regression Analysis: Model Building
Index Numbers
Forecasting
Nonparametric Methods
Statistical Methods for Quality Control
Decision Analysis
Sample Survey
References and Bibliography
Tables
Summation Notation
Self-Test Solutions and Answers to Even-Numbered Exercises
Index
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