Physics 11th Edition by John D. Cutnell, Full Textbook ISBN-13: 978-1119391869 
Trigonometry 10th Edition by Margaret L. Lial, ISBN-13: 978-0321671776 
Vector Calculus, Linear Algebra, and Differential Forms 5th Edition, ISBN-13: 978-0971576681 
Visual Differential Geometry and Forms: A Mathematical Drama in Five Acts by Tristan Needham, ISBN-13: 978-0691203706 
Writing Case Reports: A Practical Guide from Conception through Publication, ISBN-13: 978-3319419008 
Trigonometry 11th Edition by Margaret L. Lial, ISBN-13: 978-0134217437 
Nano/Microscale Heat Transfer 2nd Edition by Zhuomin M. Zhang, ISBN-13: 978-3030450380 
Culture Counts: A Concise Introduction to Cultural Anthropology (4th Edition) – eBook 
Statistical Mechanics: Algorithms and Computations by Werner Krauth, ISBN-13: 978-0198515364 
Physics Laboratory Experiments 8th Edition, ISBN-13: 978-1285738567 
The Arithmetic of Elliptic Curves 2nd Edition by Joseph H. Silverman, ISBN-13: 978-0387094939 
Understanding Engineering Mathematics by Bill Cox, ISBN-13: 978-0750650984 
Nutrition: An Applied Approach (5th Edition) – eBook 
Pharmacotherapeutics for Advanced Practice Nurse Prescribers (4th Edition) 
The Black Swan: The Impact of the Highly Improbable, ISBN-13: 978-1400063512 
Physics and Technology of Sustainable Energy Oxford Graduate Texts by E. L. Wolf, ISBN-13: 978-0198769804 
Statistics: Learning from Data 2nd Edition by Roxy Peck, ISBN-13: 978-1337558082 
Description
Statistics for Engineers and Scientists 5th Edition by William Navidi, ISBN-13: 978-1259717604
[PDF eBook eTextbook]
- Publisher: McGraw Hill; 5th edition (January 25, 2019)
- Language: English
- 944 pages
- ISBN-10: 1259717607
- ISBN-13: 978-1259717604
Statistics for Engineers and Scientists stands out for its crystal 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.
Table of Contents:
1) Sampling and Descriptive Statistics
2) Probability
3) Propagation of Error
4) Commonly Used Distributions
5) Confidence Intervals
6) Hypothesis Testing
7) Correlation and Simple Linear Regression
8) Multiple Regression
9) Factorial Experiments
10) Statistical Quality Control
Appendix A – Tables
Appendix B – Partial Derivatives
Appendix C – Bibliography
Answers to Odd-Numbered Exercises
Index
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.
What makes us different?
• Instant Download
• Always Competitive Pricing
• 100% Privacy
• FREE Sample Available
• 24-7 LIVE Customer Support
Reviews
There are no reviews yet.