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Introduction to probability and statistics / William Mendenhall III, Robert J. Beaver, University of California, Riverside, Emeritus; Barbara M. Beaver, University of California, Riverside, Emeritus.

By: Contributor(s): Material type: TextTextPublication details: Boston, MA : CL-Wadsworth, 2013.Edition: 14th ed./Student editionDescription: xxi, 721 pages : illustrations (some color) ; 26 cmISBN:
  • 9781133103752 (student edition)
  • 1133103758 (student edition)
Other title:
  • Probability and statistics
  • Introduction to probability & statistics [Cover title]
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA276 MEN 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 library Call number Copy number Status Barcode
Item in Short loan Item in Short loan Mzuzu University Library and Learning Resources Centre QA 276 MEN 2013 (Browse shelf(Opens below)) 029556 Available mZulm-029556
Item in Short loan Item in Short loan Mzuzu University Library and Learning Resources Centre QA 276 MEN 2013 (Browse shelf(Opens below)) 029555 Available mZulm-029555

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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