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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: TextTextEdition: 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:
  • QA 276 .M46 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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Holdings
Item type Current library Call number Status Barcode
Books The MUA Library South C campus - Reserve Collection QA 276 .M46 2013 (Browse shelf(Opens below)) Available 2020-0597

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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