Contents: 1. Nature and scope. 2. Data collection, classification and diagrammatic representation. 3. Sampling techniques. 4. Theoretical distributions. 5. Measures of central tendency. 6. Measures of dispersion. 7. Simple correlations. 8. Partial and multiple correlations and regression analysis. 9. Tests of significance. 10. Chi-square test. 11. Analysis of variance and covariance. 12. Principles of field experimentation. 13. Types of experimental design. 14. Experimental designs: comparative analysis. 15. Introduction to computers. 16. Computers in agriculture. 17. Key references. 18. Statistical tables. 19. Some statistical formulae. Glossary.
