The discipline of Statistics can be considered in both singular and plural forms. In its singular form, it encompasses the entire field of statistics as a branch of knowledge. In its plural form, it pertains to numerical facts and data that are systematically gathered with a specific objective in mind. Therefore, Statistics is the scientific study of data collection, analysis, and interpretation. It is crucial for students of agriculture to comprehend the logic and theory of statistics, as they are expected to have knowledge of analyzing numerical data and drawing meaningful conclusions.

The author's aim is to present the practical manual at an appropriate readability level for students who lack a mathematical background. This book is designed for both students and teachers to familiarize them with the fundamental concepts of statistical principles and procedures for calculations.

1.  Construction of Frequency Distribution  2.  Construction of Bar Diagram and Ogive Curve  3.  Construction of Pie Chat 4.  Study of Mean, Median and Mode for Ungrouped data 5.  Study of Mean, Median and Mode for Grouped data 6.  Study of Quartile, Deciles and Percentile Ungrouped and Grouped Data 7.  Study of Quartile Deviation 8.  Study of Mean Deviation for Ungrouped data 9.  Study of Mean Deviation for Grouped data 10.  Study of Standard Deviation for Ungrouped data  11.  Study of Standard Deviation for Grouped data 12  . Study of Coefficient of Variation for Ungrouped data 13. Study of Coefficient of Variation for Grouped data 14. Study of Moments for Ungrouped and Grouped Data 15. Study of Skewness for Ungrouped and Grouped Data 16. Study of Kurtosis for Ungrouped and Grouped Data 17. Study of Correlation Coefficient 18. Study of Significance of Correlation Coefficient 19. Study of Regression Coefficient 20. Study of t-Test for Single Mean 21. Study of t-Test for Two Sample Mean 22.  Study of t-Test for Paired Observation 23.  Study of F Test 24.  Study of Standard Normal Test 25. Study of χ2 test 26. Study of Yates Correction for χ2 test 27. Study of One Way Analysis of Variance 28. Study of Two Ways Analysis of Variance 29. Simple Random Sampling