Description
This market leading book offers a proven, comprehensive, applications-oriented approach. Written by authors who are highly regarded in the field, the book 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.
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Anderson (quantitative analysis, College of Business Administration, U. of Cincinnati) and his coauthors present this enduring text introducing data analysis and statistical methodology to business and economics students with a background in algebra. Twenty-one applications-oriented chapters cover concepts including: descriptive statistics, interval estimation, simple linear regression, forecasting, nonparametric methods, and decision analysis, among others. Assignments for Minitab and Excel are included throughout the book, and the CDROM contains data sets to aid these computer assignments. Appendixes contain self-test solutions, useful tables, summation notation, and strategies for computing p-values using Minitab. Updates to this tenth edition include six new case problems, and a shift to the cumulative standard normal distribution table. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
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