Keywords

agricultural statistics, competitive examinations, statistics, central tendency, probability, random variables, distribution, hypotheses testing, normal distribution, chi-square distribution, correlation, regression analysis, diagrammatic representation, measures of dispersion, indian universities

Agricultural Statistics: A Guide for Competitive Examinations

authored by: K.S.Kushwaha & Rajesh Kumar
Browse all books of K. S. Kushwaha
ISBN: 9789381450314 | Binding: Paperback | Pages: 414 | Language: English | Copyright: 2012
Length: 152 mm | Breadth: 20.7 mm | Height: 229 mm | Imprint: NIPA | Weight: 588 GMS
USD 55.00 USD 50.00
 
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The book "Agricultural Statistics" has been created with the needs of U.G. and P.G. students in Pure Statistics, Agricultural Statistics, Biological & Social Sciences, as well as those preparing for competitive exams such as I.S.S., S.S.S., State's P.S.C., and I.A.S. Additionally, it is beneficial for faculty members in the Department of Statistics at Indian Universities. This book is a result of the author's 28 years of teaching experience with U.G., P.G., and Ph.D. students from various disciplines of Agriculture, Agil. Engg. and Agril. Statistics at J.N.K.V.V. Jabalpur.

K.S. Kushwaha: M.Sc., P.S.C.C., Ph.D. (Statistics), Recipient of Dr. Radhakrishanan Award (1992), Associate Professor (Statistics), Department of Mathematics & Statistics, Jawaharlal Nehru Krishi Vishwavidayalaya, Jabalpur, Madhya Pradesh, India,

Rajesh Kumar: M.Sc., P.S.C.C., Ph.D., (Statistics), Principal Scientist (Statistics), Indian Institute of Sugarcane Research (ICAR), Lucknow, Uttar Pradesh. India

Agricultural Statistics: A Guide for Competitive Examinations: 1: Introduction to Statistics, 2: Diagrammatic and Graphic Representation of Data, 3: Measures of Central Tendency, 4: Measures of Dispersion, 5: Theory of Probability, 6: Random Variables and Distribution, 7: Mathematical Expectation, 8: Generating Functions, Law of Large Numbers and Central Limit Theorems, 9: Discrete Distributions, 10: Continuous Distributions, 11: Theory of Testing of Hypotheses (Preliminaries), 12: Normal Distribution and Tests Based on It, 13: Chi-Square Distribution and Its Applications, 14: Exact Sampling Distributions and Related Small Sample Tests (F,t), 15: Simple and Multiple Correlation and Regression Analysis, Bibliography

 
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