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ISBN10: 1266672915 | ISBN13: 9781266672910
Statistics for Engineers and Scientists, 6th Edition
ISBN10: 1266672915
ISBN13: 9781266672910
By William Navidi
© 2024
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ISBN10:
1266672915 |
ISBN13: 9781266672910
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- Hardcopy and softcover formats
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ISBN10:
1265875855 |
ISBN13: 9781265875855
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- Unbound loose-leaf version of full text
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1265874956 |
ISBN13: 9781265874957
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- Integrates in your LMS
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1264547609 |
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* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
Statistics for Engineers and Scientists stands out for its clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition 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.
The new edition of Statistics for Engineers and Scientists is also available in McGraw Hill Connect, featuring SmartBook 2.0, Adaptive Learning Assignments, and more!
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 ControlAbout the Author
William Navidi
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
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