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  SPECIFICATION
BUSINESS STATISTICS 3e (pb) 2013
Author: J. K. SHARMA
ISBN: 9789332511040
Year: 2013
Publisher: PEARSON EDUCATION ASIA
Category: BUSINESS STUDIES
Edition: 3
Format: Paperback
Language: English
Pages: 712
 ABOUT THE TITLE
The third edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables the reader to make more considered and informed business decisions.

Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the student's understanding of basic statistical techniques. Business Statistics, 3e serves as a core textbook for students of management, commerce, and computer science studying business statistics for degrees in BBA/MBA/PGDBM, B.Com/M.Com, CA/ICWA, and B.E./B.Tech/MCA, as well as those preparing for professional and competitive examinations.

Features
Learning Objectives clearly outline the learning outcomes of each chapter
Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques
A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications
Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves

Author: J. K. Sharma
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 TABLE OF CONTENTS
1. Statistics: An Overview
2. Data Classification, Tabulation and Presentation
3. Measures of Central Tendency
4. Measures of Dispersion
5. Skewness, Moments and Kurtosis
6. Fundamentals of Probability
7. Probability Distributions
8. Sampling and Sampling Distributions
9. Estimation and Confidence Intervals
10. Hypothesis Testing
11. Chi-Square and Other Non-Parametric Tests
12. Analysis of Variance
13. Correlation Analysis
14. Regression Analysis
15. Partial and Multiple Correlation and Regression Analysis
16. Forecasting and Time Series Analysis
17. Index Numbers
18. Statistical Quality Control
19. Statistical Decision Theory
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