Practical

1. Bartlett’s test for homogeneity of variances.

2. Test of significance of sample correlation coefficient.

3. Sign, median and run tests for small and large samples.

4. Sequential probability ratio test and calculation of constants and graphical representation for testing simple null against simple alternative for (i) Binomial (ii) Poission (iii) Normal (iv) Exponential distributions.

5. One-way classified data

6. Two way classification with single and equal observations

7. Large sample test

8. Two way classification with unequal observations

9. Analysis of BIBD.

10. Yates method for analysis 2ⁿfactorial experiments - n=3

11. 2 ⁿfactorial experiments – n = 4

12. Total confounding in 2 ⁿ, n = 3, 4

13. Partial confounding in 2ⁿ, n = 3, 4

14. 3²factorial experiments

15. Analysis of a confounded factorial experiment.

16. Analysis of covariance in one way classified data

17. Analysis of covariance in two way classified data

18. Analysis of RBD, LSD with missing observations.

Note: Practical exercises will be conducted on computer by using MS-Excel, C-language R and SPSS.