In this second edition of the book, two new chapters of great academic importance have been added, namely Chapter 14 on Multiple and Partial Correlation Regression, and Chapter 15 on Non-Parametric Methods. These chapters provide fundamental definitions and numerical examples on multiple and partial correlation coefficients, as well as Spearman's rank correlation, partial correlation, and multiple regression using appropriate statistical formulas. Additionally, Chapter 15 covers the most appropriate methods for analyzing data collected in social sciences, which is often based on answers provided by respondents through their memories and may suffer from memory lapses or intentional errors. The examples provided in both chapters will be valuable assets for readers and users to gain a fundamental understanding of the subject matter.
K.S. Kushwaha: He was an intelligent student and secured first rank in the “District Board Exam” (8th Class) in 1969 and achieved 5th rank on the basis of state level merit of U.P. State prepared during 1969. He was awarded a fellowship Rs.100/- month during High School and Rs.150/- month during Intermediate classes of his study. He was asked by the Honourable Governor, Dr. M. Chennareddy to take admission in Govt.’s Queen’s Intermediate College, Varanasi. He passed High School Exams with honour and obtained B.Sc. degree (1975) and M.Sc. (Statistics) in 1977 from Science College, B.H.U., Varanasi in first division.
Dr. Kushwaha completed one year “Professional Statistician Certificate Course” (P.S.C.C.) from Indian Agricultural Statistics Research Institute, New Delhi in 1979. He worked as “Research Fellow” for six months with fellowship Rs.1000/- month in “Ford Foundation” New Delhi and completed his Ph.D. degree in 1991 from “Indian School of Mines, Dhanbad” Bihar in “Sampling Theory” with 12 research papers published in single authorship in Journal of Indian Society of Agricultural Statistics, New Delhi. For his continuous works he was awarded with prestigious “Dr. Radhakrishanan Award” on 4th Sept., 1992 by M.P. State U.G.C. and was declared as “The Man of Physical Sciences”.
His papers have been referred in various text and reference books published by national and international publishers. He beard the responsibility of chairmanship in “Mathematics & Statistics Session” set up to evaluate the oral presentation of young scientists up to 28 years of age in scientific conference sponsored by MAPCOST, Bhopal and hosted by J.N.K.V.V., during Feb. 27-28, 1993 to give them “Young Scientist Award” at state level. His lecture in workshop On “Frontiers of Research in Finite Population Inferences” during (Nov. 1-9, 1993) financed by Govt. of India secured him second rank.
Dr. Kushwaha is an appointed member of (i) Executive Board and (ii) Editorial Board of “Bulletin Sample Survey Research Group, India”, “Academic Council of R.D. University, Jabalpur,” to guide Ph.D. Thesis of Scholars. He has published 19 research papers in the journals of National & International repute.
At present, he is working as a Senior Associate Professor (Statistics) in the Department of Mathematics and Statistics, Jawaharlal Nehru Krishi Vishwavidayalaya, Jabalpur, M.P., India.
Rajesh Kumar graduated from University of Delhi in B.Sc (Honours) in Mathematical Statistics in 1980 and M.Sc. in Mathematical Statistics in 1982. He did Professional Statistician’s Certificate Course (P.S.C.C.) in agricultural statistics equivalent to M.Sc. (Agricultural Statistics) in 1983 from Indian Agricultural Statistics Research Institute, New Delhi. He was awarded Gold Medal in Professional Statistician’s Certificate Course (P.S.C.C.) in Agricultural Statistics for securing highest marks and V.V.R. Murthy Memorial Prize. He earned Ph.D. degree in Statistics for his work in the field of Survey Sampling in 1995 from University of Lucknow.
Dr. Rajesh Kumar qualified Agricultural Research Services Examination in 1985 and joined Indian Institute of Sugarcane Research, Lucknow as Scientist (Agricultural Statistics). Presently, he is working as Principal Scientist (Agricultural Statistics) at Indian Institute of Sugarcane Research, Lucknow, U.P., India.
He was elected Fellow of Royal Statistical Society, London in 2000 and was granted the status of Chartered Statistician of Royal Statistical Society, London, UK in 2003. He was the elected Secretary of Association of Sugarcane Technologists of India, c/o Indian Institute of Sugarcane Research, Lucknow in 2004 and an elected member of Executive Council of Indian Society of Agricultural Statistics, c/o IASRI, New Delhi in 2006. He was elected as one of the members of International Board of Consulting Editors of Sugar Tech- An International Journal of Sugar Crops and Related Industries published by International Association of Professionals in Sugar and Integrated Technologies, China and Society for Sugar Research and Promotion, India in 2007. He was elected as Editorial Secretary of Bhartia Krishi Anusandhan Samiti, Karnal in 2006.
Dr. Rajesh Kumar has published more than 100 research papers in the field of Statistics, Agricultural Research and Crop Planning. He shared the responsibility in organizing several National Seminars on Sugarcane Research. On many occasions, he was the member of monitoring team constituted for monitoring the trials of All India Coordinated Research Project on Sugarcane conducted at different location in India.
1. Preliminaries on Sample Survey Theory, 2. Methods of Simple Random Sampling, 3. Stratified Random Sampling, 4. Ratio, Product and Regression Methods of Estimation,5. Cluster Sampling,6. Systematic Random Sampling, 7. Multistage Sampling, 8. Statistical Decision 1(Point and Internal Estimation Theory), 9. Test of Hypothesis and its Significance (Preliminaries), 10. Normal Distribution and Test Based on it (Large Sample Test or Normal Test or Z Test), 11. Exact Sampling Distribution and Related Small Sample Tests (F, t), 12. Chi-square Distribution and its Application, 13. Miscellaneous Tests of Significance, 14. Rank, Multiple, Partial and Intraclass Correlation-Regression, 15. Non-Parametric Methods, Bibliography, Appendix