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Probability Theory
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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:
Richard A. Johnson
Title of the Book:
Miller and Freund's Probability and Statistics for Engineers
Publisher:
Pearson, USA
Year:
2017
Edition:
9
ISBN:
978-0-321-98624-5
Contributor Name:
Prakash Narayan Singh Rautela, B.Sc., Computer Science and Engineering, Vivekanand Education Society's College of Arts Science & Commerce
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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2. Organization and Description of Data
3. PROBABILITY
4. PROBABILITY DISTRIBUTIONS
5. PROBABILITY DENSITIES
6. SAMPLING DISTRIBUTIONS
7. Inferences Concerning a Mean
8. Comparing Two Treatments
9. INFERENCES CONCERNING VARIANCES
10. INFERENCES CONCERNING PROPORTIONS
11. REGRESSION ANALYSIS
12. ANALYSIS OF VARIANCE
13. Factorial Experimentation
14. NONPARAMETRIC TESTS
15. The Statistical Content of Quality Improvement Programs
16. Application to Reliability and Life Testing
Example No. (Caption):
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