The present book has been well prepared to meet the requirements of the students of Animal and Veterinary Science, Animal Biotechnology and other related fields. The book will serve as a text book not only for students in Veterinary science but also for those who want to know “What statistics in all about” or who need to be familiar with at least the language and fundamental concepts of statistics.

The book will serve well to build necessary background for those who will take more advanced courses in statistics including the specialized applications. The salient features are: Each chapter of this book contains complete self explanatory theory and a fairly number of solved examples. Solved examples for each topic are given in an elegant and more interesting way to make the users understand them easily. Subject matter has been explained in a simple way that the students can easily understand and feel encouraged to solve questions themselves given in unsolved problems.

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