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Probability Theory
Basics of Statistics
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Title of the book
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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)
About the Book
About the Contributor
Author:
Douglas S Shafer and Zhiyi Zhang
Title of the Book:
Introductory Statistics
Publisher:
Flat World Publishers
Year:
2012
Edition:
1
ISBN:
978-1-4533-4486-6
Contributor Name:
Ananya K R, B.Tech, Electronics Engineering, Vellore Institute of Technology
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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1. Introduction
2. Descriptive Statistics
3. Basic Concepts of Probability
4. Discrete Random Variables
5. Continuous Random Variables
6. Sampling Distributions
7. Estimation
8. Testing Hypotheses
9. Two Sample Problems
10. Correlation and Regression
11. Chi Square Tests and F Tests
Example No. (Caption):
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