MTU Library Catalogue

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Probability and statistics for engineers / Richard L. Scheaffer and James T. McClave.

By: Scheaffer, Richard L.
Contributor(s): McClave, James T.
Material type: materialTypeLabelBookPublisher: Belmont, Calif. : Duxbury Press, 1995Edition: 4th ed.Description: xiii, 745 p. : ill. ; 35 cm.ISBN: 0534209645.Subject(s): Statistics | ProbabilitiesDDC classification: 519.202462
Contents:
Data collection and exploring univariate distributions -- Exploring bivariate distributions and estimating relations -- Obtaining data -- Probability -- Discrete probability distributions -- Continuous probability distributions -- Multivariate probability distributions -- Statistics,sampling distribution and control charts -- Estimation -- Hypothesis testing -- Inference for regression parameters -- Analysis of variance.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Store 519.202462 (Browse shelf(Opens below)) 1 Available 00012600
Total holds: 0

Enhanced descriptions from Syndetics:

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.

An Alexander Kugushev book..

Includes bibliographical references (p. 708) and index.

Data collection and exploring univariate distributions -- Exploring bivariate distributions and estimating relations -- Obtaining data -- Probability -- Discrete probability distributions -- Continuous probability distributions -- Multivariate probability distributions -- Statistics,sampling distribution and control charts -- Estimation -- Hypothesis testing -- Inference for regression parameters -- Analysis of variance.

CIT Module STAT 8001 - Supplementary Reading

Table of contents provided by Syndetics

  • 1 Data and Decisions
  • 2 From Data Tables to Disk to Discrete Probability
  • 3 Discrete Probability Distributions
  • 4 Continuous Probability Distributions
  • 5 Multivariate Probability Distributions
  • 6 Statistics, Sampling Distributions, and Control Charts
  • 7 Properties of Point Estimates
  • 8 Hypothesis Testing
  • 9 Simple Regression
  • 10 Multiple Regression Analysis
  • 11 Design of Experiments and the Analysis of Variance
  • 12 Nonparametric Statistics
  • Appendix A The Matrix Formulation of Multiple Regression
  • Appendix B More on Probability and Modeling Fitting
  • Appendix C Answers to Selected Exercises
  • Appendix D Tables