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Mathematical Statistics with Applications (Hardcover, 7th): Dennis Wackerly, William Mendenhall, Richard L. Scheaffer Mathematical Statistics with Applications (Hardcover, 7th)
Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
R1,383 R1,287 Discovery Miles 12 870 Save R96 (7%) View more sellers Ships in 10 - 15 working days

In their bestselling 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.

Introduction to Probability and Its Applications (Hardcover, 2nd Revised edition): Richard L. Scheaffer Introduction to Probability and Its Applications (Hardcover, 2nd Revised edition)
Richard L. Scheaffer
R1,757 R1,600 Discovery Miles 16 000 Save R157 (9%) Ships in 10 - 15 working days

This book introduces readers to the ways probability is applied to practical problems in science, business, and engineering. The author includes interesting examples that show applications of probability theory in all these fields. The emphasis throughout is on modeling and interpretation of data rather than of abstract mathematics, stressing uses of the computer for analysis.

Elementary Survey Sampling (Paperback, 6th Revised edition): Richard L. Scheaffer, William Mendenhall, III Elementary Survey Sampling (Paperback, 6th Revised edition)
Richard L. Scheaffer, William Mendenhall, III
Sold By Aristata Bookshop - Fulfilled by Loot
R342 Discovery Miles 3 420 Ships in 2 - 4 working days

This introductory text on the design and analysis of sample surveys emphasizes the practical aspects of survey problems. It begins with brief chapters on the role of sample surveys in the modern world. Thereafter, each chapter introduces a sample survey design or estimation procedure by describing the pertinent practical problem. The authors describe the methodology proposed for solving the problem and provide the details of the estimation procedure, including a compact presentation of the formulas needed to complete the analysis. Then, a practical example is worked out in complete detail. At the end of each chapter, a wealth of exercises gives students ample opportunity to practice the techniques and stretch their grasp of ideas.

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