R Facebook
R Twitter
Home
Resources
Downloads
Forum
Search
TBC Code Search
Fellowship 2024
Testimonials
Features
News & Events
Events
Contact Us
Login
Download Codes
Category
Please select
Statistics
Engineering
Business Management
Economics
Psychology
Business Statistics
Medical
Bio Science
Mathematics
Physics
Chemistry
Sub Category
Please select
Probability Theory
Basics of Statistics
Applied Statistics
Probability & Stochastic process
Data mining
Title of the book
Please select ...
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)
Introductory Statistics (Written by Sheldon M. Ross)
Introductory Statistics (Written by Douglas S Shafer and Zhiyi Zhang)
Managerial Statistics (Written by Gerald Keller)
Schaum's Outline Series - Theory and Problems of Statistics (Written by Murray R. Spiegel)
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:
R Lyman Ott and Michael Longnecker
Title of the Book:
An Introduction to Statistical Methods and Data Analysis
Publisher:
Cengage Learning, Canada
Year:
2010
Edition:
6
ISBN:
0-495-01758-2
Contributor Name:
Himanshu Gupta, B.E., Information Technology, SGSITS INDORE
Reviewer:
R TBC Team
Download
(Download the R codes for all the solved examples)
Download PDF
(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
Please select...
3. Data Description
4. Probability and Probability Distributions
5. Inferences about Population Central Values
6. Inferences Comparing Two Population Central Values
7. Inferences about Population Variances
8. Inferences about More Than Two Population Central Values
9. Multiple Comparisons
10. Categorical Data
11. Linear Regression and Correlation
12. Multiple Regression and the General Linear Model
13. Further Regression Topics
14. Analysis of Variance for Completely Randomized Designs
15. Analysis of Variance for Blocked Designs
Example No. (Caption):
Please select...
