The current textbook has been crafted to meet the requirements of students studying Animal and Veterinary Science, as well as those in related fields. Additionally, this book will serve as a valuable resource for students in Veterinary Science who wish to gain a basic understanding of statistics, as well as for those who require a familiarity with the fundamental concepts and language of statistics. Furthermore, the book will provide a solid foundation for those who intend to pursue more advanced courses in statistics, including specialized applications.

This textbook offers several notable features: Each chapter includes a comprehensive, self-explanatory theory section, as well as a substantial number of solved examples. The examples provided for each topic have been presented in an engaging and easy-to-understand manner, designed to facilitate comprehension. The subject matter has been explained in a straightforward manner, encouraging students to tackle the unsolved problems and cultivating their problem-solving abilities.

Rakesh Goel, M.Phil (Statistics), Assistant Professor, Department of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, U.P. Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan, Mathura, has more than 30 years of teaching and research experience in the field of Computer & Biostatistics. He is associated with the research activities of the students, teachers and research scholars of Veterinary and Animal Sciences, Medical Sciences, Agricultural Sciences and Animal Biotechnology. He has also organized several computer trainings..  He is also the author of “Statistics and Computers for Animal and Veterinary Sciences” written to meet the requirements of the undergraduate students of Veterinary and Animal Science, Animal Biotechnology and other related fields.

1. Classification and Tabulation, 2. Measures of Central Tendency, 3. Measures of Dispersion, 4. Diagrammatic Representation of Data, 5. Graphical Representation of Data, 6. Correlation and Regression,7. Probability ,8. Normal Distribution, 9. Tests of Hypothesis, 10. Small Sample Tests (t-test), 11. Chi-square Test, 12. F - Test, 13. Design of Experiment, 14.  Computer Basics and Components of Computer, 15. Computer Networks,16. Entering and Saving Biological Data Through MS-Excel, 17. Unsolved Problems