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NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS PRIVATE LIMITED

Agricultural Statistics: A Guide for Competitive Examinations (Paperback, K.S.Kushwaha & Rajesh Kumar)

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Country Of Origin : India

"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 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 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.

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  • Additional Information

    "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 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 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.

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    Content


    "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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