1. Introduction to Statistics in Agricultural and Life Science Research
2. Collection and Organization of Data
3. Grgraphical and Diagrammatic Representation of Data
4. Measure of Central Tendency..kewness and Kurtosis
7. Probability Theory
8. Probability Distribution
9. Sampling Techniques
10. Testing of Hypothesis
11. Test of Significances
13. Correlation Analysis
14. Regression Analysis
15. Analysis of Variance (ANOVA).
16. Experimental Designs in Research.
17. Statistical Software’s for Agricultural and Life Science Research
18. Interpretation and Presentation of Research Results