Statistics for Engineers and Scientists

Navidi, William

Published by McGraw-Hill Science/Engineering/Math
ISBN 10: 1259098451 / ISBN 13: 9781259098451
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Synopsis: Statistics for engineers and scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.salient features:the text presents an extensive, self-contained introduction to simulation methods at a level appropriate for introductory students, including the bootstrap and applications to estimating probabilities, estimating bias, computing confidence intervals and testing hypotheses.an engaging writing style explains difficult concepts clearly. While including the mathematics necessary for clear understanding, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.over 250 new problems have been added.

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Title: Statistics for Engineers and Scientists
Publisher: McGraw-Hill Science/Engineering/Math
Binding: Paperback

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Book Description McGraw Hill Education, 2013. Softcover. Condition: New. 3rd edition. (Indian Edition) Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. Contents: Chapter 1: Sampling and Descriptive Statistics Chapter 2: Probability Chapter 3: Propagation of Error Chapter 4: Commonly Used Distributions Chapter 5: Confidence Intervals Chapter 6: Hypothesis Testing Chapter 7: Correlation and Simple Linear Regression Chapter 8: Multiple Regression Chapter 9: Factorial Experiments Chapter 10: Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Printed Pages: 0. Seller Inventory # 85031

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