For a one- or two-term course in business statistics.
This best-selling introduction stresses the development of statistical thinking ― the assessment of credibility and value of the inferences made from data ― by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.
The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project:
"synopsis" may belong to another edition of this title.
James T. McClave, Info Tech, Inc./ University of Florida
P. Goerge Benson, Terry College of Business, University of Georgia
Terry Sincich, University of South Florida
"About this title" may belong to another edition of this title.
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