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Probability Theory
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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:
Ken Black
Title of the Book:
Business Statistics for Contemporary Decision Making
Publisher:
Wiley, USA
Year:
2010
Edition:
6
ISBN:
978-0470-40901-5
Contributor Name:
Vibha Mehta, B.Tech., Computer Science and Engineering, Techno India NJR Institute of Technology
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. Charts and Graphs
3. Descriptive Statistics
4. Probability
5. Discrete Distributions
6. Continuous Distributions
7. Sampling and Sampling Distributions
8. Statistical Inference Estimation for Single Populations
9. Statistical Inference Hypothesis Testing for Single Populations
10. Statistical Inferences About Two Populations
11. Analysis of Variance and Design of Experiments
12. Simple Regression Analysis and Correlation
13. Multiple Regression Analysis
14. Building Multiple Regression Models
15. Time Series Forecasting and Index Numbers
16. Analysis of Categorical Data
17. Nonparametric Statistics
Example No. (Caption):
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