Statistical analysis for engineers and scientists a computer-based approach
-STATISTICAL ANALYSIS FOR ENGINEERS AND SCIENTISTS A COMPUTER-BASED APPROACH Statistical Analysis for Engineers and Scientists is the first engineering statistics text that addresses statistical analysis from a modern computer based viewpoint. The book teaches s dents to use the concepts from proba...
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Format: | Book |
Language: | English, Middle (1100-1500) English |
Published: |
New York
McGraw-Hill
1994
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Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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100 | 1 | # | |a Barnes, J. Wesley |e author |
245 | 1 | 1 | |a Statistical analysis for engineers and scientists |b a computer-based approach |c J. Wesley Barnes |
264 | # | 1 | |a New York |b McGraw-Hill |c 1994 |
300 | # | # | |a xxvii, 306 pages |b illustration |c 25 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
520 | # | # | |a -STATISTICAL ANALYSIS FOR ENGINEERS AND SCIENTISTS A COMPUTER-BASED APPROACH Statistical Analysis for Engineers and Scientists is the first engineering statistics text that addresses statistical analysis from a modern computer based viewpoint. The book teaches s dents to use the concepts from probabsty and statistics in the way engineering and scientific workplace. This is accomplished throug program that complements the broad coverage of the text and allows ployed in the integrated scars realistic problems. The book is applications-oriented and most theoretical arguments are approached from an intuitive level. Special Features: The unique, comprehensive, and user friendly software package for the 18M PC or Macintosh) and the User's Manual which accompanies the text. The excellent chapter learning objectives and varied exercises, carefully designed to help students master each chapter's goals while learning to use the software to the fullest advantage The complete and detailed treatment of statistically valid sample sizes in all tests of hypotheses addressed. •Extensive coverage of more important advanced topics, including multivariate regression analysis, convolution and transformation of discrete random variables, bivariate probabilit distributions, operating characteristic curves for hypotheses tests, statistical process |
650 | # | 0 | |a Engineering |x Data processing |x Statistical methods |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=294834 |
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