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Statistics
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Probability Theory
Basics of Statistics
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Title of the book
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Probability and Statistics for Engineers (Written by Richard L. Scheaffer, Madhuri S. Mulekar, James T. McClave)
Probability and Statistics for Engineering and the Sciences (Written by Jay L Devore)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
Numerical Methods for Engineers (Written by S. C. Chapra and R. P. Canale)
Miller and Freund's Probability and Statistics for Engineers (Written by Richard A. Johnson)
Probability and Statistics for Engineers and Scientists (Written by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye)
About the Book
About the Contributor
Author:
Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye
Title of the Book:
Probability and Statistics for Engineers and Scientists
Publisher:
Pearson Education, Boston USA
Year:
2016
Edition:
9
ISBN:
978-0-321-62911-1
Contributor Name:
Dubey Varshit Shailendra, B.Tech., Electronics Engineering, College of Engineering Pune
Reviewer:
R TBC Team
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The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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1. Introduction To Statistics And Data Analysis
2. Probability
3. Random Variables And Probability Distributions
4. Mathematical Expectation
5. Some Discrete Probability Distribution
6. Some Continuous Probability Distributions
8. Fundamental Sampling Distributions And Data Descriptions
9. One And Two Sample Estimation Problems
10. One And Two Sample Tests Of Hypothesis
11. Simple Linear Regression And Correlation
12. Multiple Linear Regression And Certain Non Linear Regression Models
13. One Factor Experiment General
14. Factorial Experiments Two Or More Factors
15. 2 to the power k Factorial Experiments and Fractions
16. Non Parametric Statistics
17. Statistical Quality Control
18. Bayesian Statistics
Example No. (Caption):
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