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Probability Theory
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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)
John E. Freund's Mathematical Statistics With Applications (Written by John E. Freund)
Probability And Statistics (Written by Morris H. Degroot, Mark J. Schervish)
Statistical Techniques In Business And Economics (Written by Douglas A. Lind, William G. Marchal, Samuel A. Wathen)
About the Book
About the Contributor
Author:
Douglas A. Lind, William G. Marchal, Samuel A. Wathen
Title of the Book:
Statistical Techniques In Business And Economics
Publisher:
Mcgraw-hill Education, New York
Year:
2018
Edition:
17
ISBN:
978-1-259-66636-0
Contributor Name:
Swaraj Vishwas Sawant, B.Sc., Data Science, Vidyalankar School Of Information Technology
Reviewer:
R TBC Team
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Title of the chapter
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2. Describing Data
3. Describing Data
4. Describing Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One Sample Tests of Hypothesis
11. Two Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods
16. Nonparametric Methods
17. Index Numbers
18. Time Series and Forecasting
19. Statistical Process Control and Quality Management
Example No. (Caption):
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