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Mathematical statistics with applications

Author: Dennis D Wackerly; William Mendenhall; Richard L Scheaffer
Publisher: Belmont, CA : Thomson Brooks/Cole, ©2008.
Edition/Format:   Print book : English : Seventh editionView all editions and formats
Summary:
The authors present the theory of statistics in the context of practical problem solving and real world applications. This practical approach helps you discover the nature of statistics and comprehend its essential role in scientific research.--
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Dennis D Wackerly; William Mendenhall; Richard L Scheaffer
ISBN: 9780495110811 0495110817 9780495385080 0495385085
OCLC Number: 183886598
Description: xxii, 912 pages : illustrations ; 25 cm
Contents: 1. What is statistics? --
2. Probability --
3. Discrete random variables and their probability distributions --
4. Continuous variables and their probability distributions --
5. Multivariate probability distributions --
6. Functions of random variables --
7. Sampling distributions and the central limit theorem --
8. Estimation --
9. Properties of point estimators and methods of estimation --
10. Hypothesis testing --
11. Linear models and estimation by least squares --
12. Considerations in designing experiments --
13. The analysis of variance --
14. Analysis of categorical data --
15. Nonparametric statistics --
16. Introduction to Bayesian methods.
Responsibility: Dennis D. Wackerly, William Mendenhall III, Richard L. Scheaffer.
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Abstract:

The authors present the theory of statistics in the context of practical problem solving and real world applications. This practical approach helps you discover the nature of statistics and comprehend its essential role in scientific research.--

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1. What Is Statistics? Introduction. Characterizing a Set of Measurements: Graphical Methods. Characterizing a Set of Measurements: Numerical Methods. How Inferences Are Made. Theory and Reality. Read more...

 
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Content-negotiable representations<\/p>\n