Statistical Methods

Contents 1. Elements of statistics. 2. Statistical methods. 3. Sampling distribution. 4. Estimation. 5. Test of hypothesis. 6. Large sample test. 7. Small sample test. 8. Chi square test. 9. Test for equality of means by f test. 10. Simple correlation. 11. Simple linear regression. 12. Multiple linear regression. 13. Curvilinear regression. 14. Selection of variables. 15. Dummy variable. 16. Non parametric methods. 17. Design of experiments. 18. Analysis of covariance. 19. Combined analysis. 20. Sampling. References. Experiments and surveys are conducted by scientists in agriculture and food science as a part of their career. They require appropriate statistical treatment to validate data and draw meaningful conclusions. Statistical courses are formulated in post graduate study programme to make them adept in Statistical Methods. The present work is outcome of several years of teaching and close collaboration with students and research scientists in different colleges and research scientists in different colleges and research institutes. The experience led to endeavor a presentation of the pioneer works on statistical methods without elaborate theoretical background a majority of which rests on mathematical proofs. The organization of the book on the relevant headings are sure to benefit students in the faculties of agriculture food science and related subjects. 360 pp.…