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Elementary Statistics: A Step by Step Approach (Written by Allan G. Bluman)
Probability and Statistics for Engineering and the Sciences (Written by Jay L Devore)
Introduction to Probability and Statistics (Written by William Mendenhall, Robert J Beaver, and Barbara M Beaver)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
A First Course in Probability (Written by Sheldon Ross)
Fundamentals of Mathematical Statistics (Written by S.C. Gupta, V.K. Kapoor)
An Introduction to Statistical Methods and Data Analysis (Written by R Lyman Ott and Michael Longnecker)
Statistics and Probability Theory (Written by Dr. K.C. Jain and Dr. M.L. Rawat)
Introduction to Probability (Written by Dimitri P. Bertsekas and John N. Tsitsiklis)
Business Statistics for Contemporary Decision Making (Written by Ken Black)
Introductory Statistics (Written by Sheldon M. Ross)
Introductory Statistics (Written by Douglas S Shafer and Zhiyi Zhang)
Managerial Statistics (Written by Gerald Keller)
Introduction to Mathematical Statistics (Written by Robert V. Hogg, Joseph W. Mckean, Allen T. Craig)
Mathematical Statistics and Data Analysis (Written by John A. Rice)
John E. Freund's Mathematical Statistics With Applications (Written by John E. Freund)
Probability And Statistics (Written by Morris H. Degroot, Mark J. Schervish)
About the Book
About the Contributor
Author:
Allan G. Bluman
Title of the Book:
Elementary Statistics: A Step by Step Approach
Publisher:
McGraw-Hill, New York
Year:
2009
Edition:
7
ISBN:
9780073534978
Contributor Name:
R. Janani, B.Tech., Electrical Engineering, National Institute of Technology, Tiruchirappalli
Reviewer:
R TBC Team
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(Download the R codes for all the solved examples)
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(Download the PDF file containing R codes for all the solved examples)
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. Frequency Distribution and graphs
3. Data Description
4. Probability and counting rules
5. Discrete Probability Distrubution
6. The Normal Distribution
7. Confidence Intervals and Sample Size
8. Hypothesis Testing
9. Testing the Difference Between Two Means and Two Proportions and Two Variances
10. Correlation and Regression
11. Other Chi Square Tests
12. Analysis of Variance
13. Nonparametric Statistics
Example No. (Caption):
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