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Applied statistics for agriculture, ...

Sahu, Pradip Kumar.

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Applied statistics for agriculture, veterinary, fishery, dairy and allied fields

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied statistics for agriculture, veterinary, fishery, dairy and allied fields/ by Pradip Kumar Sahu.
作者:	Sahu, Pradip Kumar.
出版者:	New Delhi :Springer India : : 2016.,
面頁冊數:	xvi, 533 p. :ill., digital ;24 cm.
內容註:	1. Introduction to Statistics and Biostatistics -- 2. Data-Information and its Presentation -- 3. Summary Statistics -- 4. Probability Theory and Its Application -- 5. Population and Sample -- 6. Statistical Inference -- 7. Correlation Analysis -- 8. Regression Analysis -- 9. Analysis of Variance -- 10. Basic Experimental Designs -- 11. Factorial Experiments -- 12. Special Experiments and Designs -- 13. Use-Misuse of Statistical Packages.
Contained By:	Springer eBooks
標題:	Agriculture - Statistics. -
電子資源:	http://dx.doi.org/10.1007/978-81-322-2831-8
ISBN:	9788132228318

Applied statistics for agriculture, veterinary, fishery, dairy and allied fields
Sahu, Pradip Kumar.

Applied statistics for agriculture, veterinary, fishery, dairy and allied fields[electronic resource] /by Pradip Kumar Sahu. - New Delhi :Springer India :2016. - xvi, 533 p. :ill., digital ;24 cm.

1. Introduction to Statistics and Biostatistics -- 2. Data-Information and its Presentation -- 3. Summary Statistics -- 4. Probability Theory and Its Application -- 5. Population and Sample -- 6. Statistical Inference -- 7. Correlation Analysis -- 8. Regression Analysis -- 9. Analysis of Variance -- 10. Basic Experimental Designs -- 11. Factorial Experiments -- 12. Special Experiments and Designs -- 13. Use-Misuse of Statistical Packages.

This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner that, after reading the book, readers will be equipped to apply the statistical tools to extract otherwise hidden information from their data sets with confidence. Starting with the meaning of statistics, the book introduces measures of central tendency, dispersion, association, sampling methods, probability, inference, designs of experiments and many other subjects of interest in a step-by-step and lucid manner. The relevant theories are described in detail, followed by a broad range of real-world worked-out examples, solved either manually or with the help of statistical packages. In closing, the book also includes a chapter on which statistical packages to use, depending on the user's respective requirements.

ISBN: 9788132228318

Standard No.: 10.1007/978-81-322-2831-8doiSubjects--Topical Terms:

693770
Agriculture
--Statistics.

LC Class. No.: HD1425 / .S24 2016

Dewey Class. No.: 338.1072

Applied statistics for agriculture, veterinary, fishery, dairy and allied fields
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505 0 $a 1. Introduction to Statistics and Biostatistics -- 2. Data-Information and its Presentation -- 3. Summary Statistics -- 4. Probability Theory and Its Application -- 5. Population and Sample -- 6. Statistical Inference -- 7. Correlation Analysis -- 8. Regression Analysis -- 9. Analysis of Variance -- 10. Basic Experimental Designs -- 11. Factorial Experiments -- 12. Special Experiments and Designs -- 13. Use-Misuse of Statistical Packages.
520 $a This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner that, after reading the book, readers will be equipped to apply the statistical tools to extract otherwise hidden information from their data sets with confidence. Starting with the meaning of statistics, the book introduces measures of central tendency, dispersion, association, sampling methods, probability, inference, designs of experiments and many other subjects of interest in a step-by-step and lucid manner. The relevant theories are described in detail, followed by a broad range of real-world worked-out examples, solved either manually or with the help of statistical packages. In closing, the book also includes a chapter on which statistical packages to use, depending on the user's respective requirements.
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