Authors : J K Sharma

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About the Author

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.


About the Book

This book's easy-to-understand approach will enable readers to develop the required skills and apply statistical techniques to decision-making problems. The book will facilitate the teaching of business statistics techniques as well as enhance the learning experience for students.

Key Features

• Strictly as per the syllabus of NEHU
• Large number of solved as well as practice problems
• Includes pedagogical elements like Conceptual Questions, Self-practice Problems with Hints and Answers
• Includes model question papers

Table of Content

• Statistics: An Overview • Data Classification, Tabulation and Presentation • Measures of Central Tendency • Measures of Dispersion • Skewness, Moments and Kurtosis • Correlation Analysis • Regression Analysis • Association of Attributes and Consistence of Data • Index Numbers • Fundamentals of Probability • Sampling Theory • Forecasting and Time-series Analysis • Interpolation and Extrapolation