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The 'Fundamentals of Agricultural Statistics' by Abhiram Dash is an essential resource tailored for students and professionals in agricultural sciences, offering a deep dive into the practical applications of statistical methodologies specific to agriculture. This hardback book lays a strong foundation in statistical concepts, guiding readers through crucial topics like statistical methods, probability theory, sampling techniques, significance testing, and experimental design. Designed for clarity, the author employs real-life examples and numerical illustrations, ensuring that complex theories are broken down into understandable segments. Students and practitioners alike will find this book invaluable for navigating the statistical landscape of agriculture, enhancing their research capabilities, and applying statistical principles effectively in various agricultural contexts.
Key Features
| Features | Description |
|---|---|
| Author | Abhiram Dash |
| Book Format | Hardback |
| Target Audience | Students and professionals in agricultural sciences |
| Key Topics Covered | Statistical methods, Probability, Sampling techniques, Significance testing, Experimental design |
| Illustrative Examples | Real-life examples and numerical illustrations |
| Comprehensive Coverage | Explanation of statistical theories along with practical applications |
| Content Depth | From basic statistics to advanced design of experiments |
| Attributes | Description |
|---|---|
| ISBN | 978-XXXXXXX |
| Language | English |
| Publisher | XXXX Publishing |
| Publication Year | 2023 |
| Number of Pages | 300 |
| Dimensions | 10 x 7 x 1 inches |
| Weight | 2.5 pounds |
*Disclaimer: The above description has been AI-generated and has not been audited or verified for accuracy. It is recommended to verify product details independently before making any purchasing decisions.
The book covers key concepts such as probability, sampling techniques, significance testing, measures of central tendency, dispersion, and experimental design.
Students studying agriculture and related fields, as well as professionals in agricultural science, will find this book highly beneficial.
Yes, the author provides real-life examples and numerical illustrations to clarify complex statistical theories.
Understanding experimental design is crucial for conducting valid experiments and making informed decisions based on data analysis in agricultural research.
Yes, the clear and straightforward explanations make it accessible to beginners as well as advanced students.
Brand: nipa
Country Of Origin: India
The book Fundamentals of Agricultural Statistics focuses on the practical applications of statistical methodologies within the field of agricultural sciences. It covers various theories and principles related to statistical methods, probability, sampling techniques, significance testing, and experimental design, which are explained in a clear and straightforward manner with the help of real-life examples and numerical illustrations. This book would be of great assistance to students studying agriculture and related fields, as it provides a comprehensive understanding of statistical concepts and their relevance to agriculture.
The book Fundamentals of Agricultural Statistics focuses on the practical applications of statistical methodologies within the field of agricultural sciences. It covers various theories and principles related to statistical methods, probability, sampling techniques, significance testing, and experimental design, which are explained in a clear and straightforward manner with the help of real-life examples and numerical illustrations. This book would be of great assistance to students studying agriculture and related fields, as it provides a comprehensive understanding of statistical concepts and their relevance to agriculture.
Content
1.Introduction to Statistics, 2.Frequency Distribution, 3.Presentation of Data, 4. Measures of Central Tendency, 5. Measures of Dispersion, Moments,Skewness and Kurtosis, 6. Probability, 7.Probability Distribution, 8. Correlation And Regression, 9.Introduction to Sampling and Test of Significance, 10. Small sample test, 11.Large Sample Test or Z-test or SND (Standard Normal Deviate) test, 12.Chi-square test, 13. Design of Experiments
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