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Probability and Statistics for Engineers

Designed to teach engineers to think statistically so that data can be collected and used intelligently in solving real problems, this text is intended for calculus-based, one-semester introduction to engineering statistics courses. Although traditional topics are covered, this edition takes a modern, data-oriented, problem-solving, process-improvement view of engineering statistics. The emphasis is on collecting good data through sample surveys and experiments and on applying it to real problems.

Author: Richard L. Scheaffer, James T. McClave
Pages: 745 pages
Format: PDF
Size: 17.11 Mb
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