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Mathematical Statistics with Applications
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Mathematical Statistics with Applications

Book Details

Format Hardback or Cased Book
ISBN-10 0495110817
ISBN-13 9780495110811
Publisher Cengage Learning, Inc
Imprint Duxbury Press
Country of Manufacture US
Country of Publication GB
Publication Date Oct 10th, 2007
Print length 944 Pages
Weight 1,670 grams
Dimensions 19.50 x 23.90 x 4.10 cms
Product Classification: Probability & statistics
Ksh 16,700.00
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In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors'' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.With the addition of contributor Brendan Ames, MATHEMATICAL STATISTICS WITH APPLICATIONS now includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize statistical concepts, and an appendix introducing students to statistical data analysis using R can be found at the end of the eTextbook.
In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research. With the addition of contributor Brendan Ames, MATHEMATICAL STATISTICS WITH APPLICATIONS now includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize statistical concepts, and an appendix introducing students to statistical data analysis using R can be found at the end of the eTextbook.

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