Normal view MARC view ISBD view

Introduction to probability and statistics / William Mendenhall, Robert J. Beaver and Barbara M. Beaver.

By: Mendenhall, William.
Contributor(s): Beaver, Robert J | Beaver, Barbara M.
Material type: TextTextPublisher: Pacific Grove, Calif. : Brooks/Cole, c2013Edition: 14th ed.Description: xxi, 721 p. : ill. ; 26 cm.ISBN: 9781133111504 (pbk.) :; 1133111505 (pbk.) :.Subject(s): Probabilities | Mathematical statisticsDDC classification: 519.2 Online resources: WorldCat Details | E-book Fulltext
Contents:
Table of 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.
Summary: While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, this 14th edition incorporates learning aids to ensure that students learn and understand the relevance of the material.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 519.2 MEI 2013 (Browse shelf) Not for loan
Total holds: 0

Includes bibliographical references and index.

Table of 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.

While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, this 14th edition incorporates learning aids to ensure that students learn and understand the relevance of the material.

Applied Statistics

There are no comments for this item.

Log in to your account to post a comment.

Library Home | Contacts | E-journals
Copyright @ 2011-2019 EWU Library
East West University