Quantitative Techniques 1st Edition  (English, Paperback, S. K. Khandelwal)

Students of professional courses have to deal with Quantitative Techniques in various areas of life in general and business management in particular. This text provides a comprehensive coverage to deal with quantitative techniques. The language is simple, the approach is practical and emphasis is application oriented.

All techniques are covered with solved problems followed by self solving exercises. Each set of techniques is supported with multiple choice exercises and theoretical and practical questions.

The present text is specially designed for practicing managers, student managers pursuing undergraduate, postgraduate and other professional courses.

Salient Features:

• Simple Language
• All varieties of solved and unsolved self-solving exercises including more thean 700 solved problems and 1500 unsolved problems
• Exercises having a comprehensive coverage of all managerial functions
• Very strong coverage of inferential statistics

About The Author
Dr. S.K. Khandelwal is currently an Associate Professor in the Department of Commerce at Ram Lal Anand College, University of Delhi. He is M.Com and obtained his Ph.D in the field of International Trade and Economic Relations. His areas of interest are Statistics, Business Mathematics, Quantitative Techniques and Operations Management. He is teaching since 1970 and has an extensive experience of teaching at the Institute of Chartered Accountants of India and numerous institutions that offer wide range of professional courses.

He has authored a book titled Business Statistics. In less than a year three reprints of the book show the popularity and acceptance of the book. He has written a number of other books on statistics.

Table Of Contents

• Statistics-An Introduction
• Data Collection
• Frequency Distribution and Presentaiton of Data
• Measures of Central Tendency
• Measures of Dispersion
• Correlation Analysis
• Liner Regression Analysis
• Analysis of Time Series
• Probability
• Mathematical Expectation
• Probability Distributions
• Statistical Decision Theory
• Sampling Techniques
• Sampling Distribution
• Estimation
• Hypothesis Testing
• Chi-Square (X2) Test
• Analysis of Variance
• Multiple Regression Analysis
• Appendix