The second edition of the book “Statistics for Agricultural Sciences” was well received by students and staff for whom it was intended. The author has thoroughly revised and updated the second edition and included SPSS data analysis Procedure for all the popular statistical methods and experimental designs in view of the latest trend of using statistical packages in data analysis using live examples. The author also included new chapter 21 on “Econometrics” to cater to the needs of M.Sc. and Ph.D. students of Agriculture Economics and Business Management/Administration. This book covers all the courses in Statistics taught to B.Sc., M.Sc. and Ph.D students in Agriculture, Veterinary and Home Science Faculties in I.C.A.R system. This book is also useful to all the P.G. and Ph.D. students of Biology and Bio-technology students. This book also serves as useful reference book to staff members for guiding M.Sc., Ph.D. students in statistical analysis for their thesis work and also for their personal research projects. Salient Features of Third Edition New chapter on Econometrics is added Data Analysis using SPSS Package is presented for most of the popular statistical Methods and Experimental Designs The entire text is thoroughly revised and updated Some more new worked out examples are included for the benefit of students Contents: Part I: Statistical Methods 1. Introduction 2. Collection, Classification and Tabulation of Data 3. Frequency Distribution 4. Measures of Location 5. Measures of Dispersion 6. Moments, Skewness and Kurtosis 7. Elementary Probability 8. Binomial and Poisson Distributions 9. Normal Distribution 10. Tests of Hypotheses 11. Chi-Square Distribution 12. Correlation and Regression 13. Multiple Regression and Correlation 14. D2-Statistics and Discriminant Functions 15. Introduction to Probit Analysis Part II: Experimental Designs 16. Experimental Designs Part III: Sample Surveys, Economic and Non-Parametric Statistics 17. Sampling Methods 18. Economic Statistics 19. Non-Parametric Statistics Part IV: Multivariate Statistical Methods 20. Multivariate Statistics Methods Part V: Econometrics 21. Two-Variable Linear Model