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UNIVERSITY OF AGRICULTURAL SCIENCES

Introduction to agricultural statistics / Phundan Singh.

By: Singh, PhundanMaterial type: TextTextPublisher: New Delhi : Brillion Publishing, 2021Description: xii, 193 p. : graphs, tables, figues ; 24 cmISBN: 9789389350807 (Hardbound); 9389350808 (Hardbound); 9789389350814 (Ebook/Online); 9389350816 (Ebook/Online)Subject(s): Random sampling | Arithmetic mean | Regression analysis | Biometrical analysisDDC classification: 630.182
Contents:
Nature and scope -- Data collection, classification and digrammatic representation -- sampling techniques -- Theoretical distribution -- Measures of central tendency -- Measures of dispertion -- Simple correlations -- Partial and multiple correlations and regression analysis -- Tests of significance -- Chi-square test -- Analysis of variance and covariance -- Principles of field experimentation -- Types of experimental design -- Experimental designs: Comparative analysis -- Introduction to computers -- Computers in agriculture
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630.182 SIN (Browse shelf) Available 148130

This book provides comprehensive information on agricultural statistics. Hope this book would be useful to the students, researchers, engaged in the field of agricultural sciences. This book covers the syllabus of undergraduate and post graduate levels od both SAUs and CAUs in one compact volume. It covers the entire syllabus in its 16 chapters. Each chapter has been presented point wise and step by step with suitable plant examples. The book has been written in a simple language and lucid manner for easy grasping of students. Glossary of technical terms is presented at the end of each chapter for ready reference of students. Some useful references are given at the end for gathering further details.

Includes References, Statistical tables and Glossary

Nature and scope -- Data collection, classification and digrammatic representation -- sampling techniques -- Theoretical distribution -- Measures of central tendency -- Measures of dispertion -- Simple correlations -- Partial and multiple correlations and regression analysis -- Tests of significance -- Chi-square test -- Analysis of variance and covariance -- Principles of field experimentation -- Types of experimental design -- Experimental designs: Comparative analysis -- Introduction to computers -- Computers in agriculture

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