STATISTICS FOR THE ENGINEERING AND COMPUTER SCIENCES (2nd Edition)

Sincich, Terry; Mendenhall, William

ISBN 10: 0023804602 / ISBN 13: 9780023804601

Published by Dellen/Macmillan, San Francisco, CA, 1988

About this Item

Text/New. Illustrated boards/NF. 2nd Edition, 3rd Printing of 1989. Textbook. 2-semester introductory course in statistics for students of engineering, physical sciences and computer science. Assumed grasp of differential & integral calculus. 18 chapters: 1, Some Basic Concepts; 2, Using the Computer; 3, Probability; 4, Discrete Random Variables; 5, Continuous Random Variables; 6, Bibariate Probability Distributions; 7, Sampling Distributions; 8, Estimation; 9, Tests of Hypotheses; 10, Simple Linear Regression Analysis; 11, Multiple Regression Analysis; 12, Introduction to Model Building; 13, The Analysis of Variance for Designed Experiments; 14, The Analysis of Variance for Nesting Sampling Designs; 15, The Analysis of Enumerative Data; 16, Nonparametric Statistics; 17, Applications: Product & System Reliability; and, 18, Applications: Quality Control followed by 5 Appendices. Fine copy.

Seller Inventory # 005728

Bibliographic Details

• Title: STATISTICS FOR THE ENGINEERING AND COMPUTER SCIENCES (2nd Edition)
• Publisher: Dellen/Macmillan, San Francisco, CA
• Publication Date: 1988
• Language: English
• ISBN 10: 0023804602
• ISBN 13: 9780023804601
• Binding: Hardcover
• Edition: First Edition, 3rd Printing
• Condition: Near Fine
• Dust Jacket Condition: None as Issued
• Seller catalogs:
  • Engineering
  • Memoir, Autobiography
  • Computers, Computer Science, Hardware, Software

About this title

Synopsis

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.