Introduction to Probability and Statistics with courseMate / William Mendenhall III, Robert J. Beaver, University of California, Riverside, Emeritus; Barbara M. Beaver, University of California, Riverside, Emeritus.

By: Mendenhall, William [author.]Contributor(s): Beaver, Robert J [author.] | Beaver, Barbara M [author.]Material type: TextTextPublisher: New Delhi.: Brooks/Cole, Cengage Learning, [2018]Edition: 14th ed./Student editionDescription: xxi, 721 pages : illustrations (some color) ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9788131533048Other title: Probability and statistics | Introduction to probability & statistics [Cover title]Subject(s): Mathematical statistics -- Textbooks | Probabilities -- TextbooksDDC classification: 519.2 LOC classification: QA276 | .M425 2013
Contents:
Ch. 1. Describing data with graphs -- Ch. 2. Describing data with numerical measures -- Ch. 3. Describing bivariate data -- Ch. 4. Probability and probability distributions -- Ch. 5. Several useful discrete distributions -- Ch. 6. The normal probability distribution -- Ch. 7. Sampling distributions -- Ch. 8. Large-sample estimation -- Ch. 9. Large-sample tests of hypotheses -- Ch. 10. Inference from small samples -- Ch. 11. The analysis of variance -- Ch. 12. Linear regression and correlation -- Ch. 13. Multiple regression analysis -- Ch. 14. Analysis of categorical data -- Ch. 15. Nonparametric statistics.
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Item type Current location Home library Shelving location Call number Status Notes Date due Barcode Item holds
Book Book School of Mechanical & Manufacturing Engineering (SMME)
School of Mechanical & Manufacturing Engineering (SMME)
General Stacks 519.2 WIL (Browse shelf) Available Rack,47-Shelf,4 SMME-3545
Total holds: 0

Includes bibliographical references and index.

Ch. 1. Describing data with graphs -- Ch. 2. Describing data with numerical measures -- Ch. 3. Describing bivariate data -- Ch. 4. Probability and probability distributions -- Ch. 5. Several useful discrete distributions -- Ch. 6. The normal probability distribution -- Ch. 7. Sampling distributions -- Ch. 8. Large-sample estimation -- Ch. 9. Large-sample tests of hypotheses -- Ch. 10. Inference from small samples -- Ch. 11. The analysis of variance -- Ch. 12. Linear regression and correlation -- Ch. 13. Multiple regression analysis -- Ch. 14. Analysis of categorical data -- Ch. 15. Nonparametric statistics.

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