Authors : J K Sharma
J K Sharma, formerly a Professor at the Faculty of Management Studies, University of Delhi, has more than 40 years of teaching experience of Operations Research, Business Statistics, Business Mathematics, Supply Chain Management, and Project Management. He was awarded the Madan Mohan Gold Medal for securing first position in MSc (Mathematics) examination. He has been a visiting Professor at Group ESSEC (A Graduate School of Management) in France during 1992-94; Amity University, Dubai campus during 2011-12; and Amity Institute of Higher Education, Mauritius during 2012-13. He has authored 25 books, which have been widely appreciated by the students of undergraduate and postgraduate classes of all the Indian universities/management institutes, and has also written more than 135 research papers/case studies. Also 21 students got Ph.D. degree under his supervision.
Dr. Sharma has served as Founder Director of G L Bajaj Institute of Management and Research, Greater Noida; Institute of Management Studies, Noida; and Maharishi Institute of Management, Noida. He is associated with several Schools of Management in different roles in the country and is also involved in conducting management development programmes for both public as well as private sector companies..
The fifth edition of the book Business Statistics will provide readers an understanding of problem-solving methods, and analysis, thus enabling readers to develop the required skills and apply statistical techniques to decision-making problems. A large number of new business-oriented solved as well as practice problems have been added, thus creating a bank of problems that give a better representation of the various business statistics techniques.
This book meets the specific and complete requirements of students pursuing MBA/PGDBM, B.Com., M.Com., MA(Eco), CA, ICWA, BBA, BIS/BIT/BCA, etc., courses, who need to understand the basic concepts of business statistics and apply results directly to real-life business problems. The book also suits the requirements of students who need practical knowledge of the subject, as well as for those preparing for competitive examinations.
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