This Basic Biostatistics book was written to assist students and researchers of the biological sciences, with the primary purpose of helping them to learn about and apply appropriate experimental designs and statistical methods. The book chapters cover all basic topics at UG and PG levels at India and foreign organisations. Statistical methods applied to biological sciences are known as Biostatistics or Biometrics, and they have their origins in agricultural and biomedical research.

The special feathers that distinguish biometrics within statistics is the fact that biological measurements are variable, not only because of measurement error, but also from their natural variability from genetic and environmental sources. These sources of variability must be considered when drawing conclusions about biological material. Accounting for these sources of variation has led to the development of experimental designs that incorporate blocking, covariates and repeated measures. Appropriate techniques for analysis of data from these designs and others are sincerely discussed in the book.

This Basic Biostatics book has lot of important attractive features are simplicity, easy to understand, compiled and arranged with in simple English language. All the statistical theory has been illustrated with examples for better understanding of all statistical principles. A number of solved numerical problems has been discussed in this book.

Biswanath Patra: Professor and Head in Animal Genetics & Breeding, MB Veterinary College, Dungarpur, Rajasthan, India

Bharat Bhushan: Principal Scientist & Head, Visiting Scientist WSU, USA, Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar - 243 122, Bareilly, Uttar Pradesh,India

Hitesh Purohit: Assistant Professor in Animal Genetics and Breeding, Department of Livestock Farm Complex, Bhumika College of Veterinary Sciences and Research Centre Sigra,Mahendragarh - 123034, Haryana, India

Parth Gaur: PhD Student, Department of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal 132 001, Haryana, India

Chapter 1. Introduction
Chapter 2. Classification and tabulation of data
Chapter 3. Measure of central tendency
Chapter 4. Calculation of Mean, Median and Mode from group data
Chapter 5. Measure of Dispersion 
Chapter 6. Moments, skewness and kurtosis
Chapter 7. Correlation and regression
Chapter 8. Probability
Chapter 9. Probability distribution
Chapter 10. Testing hypothesis
Chapter 11. Statistical tests
Chapter 12. F test
Chapter 13. Design of experiments
Chapter 14. Sampling and livestock census
Chapter 15. Bioassays
Chapter 16. Least Square Method and Linear Models
Chapter 17. Understanding BLUEs, BLUPs 
Chapter 18. Question bank
Chapter 19. Appendix (Statistical tables)