8. Random Sampling Experiment (RSE)

9. Nested Sampling Experiment (NSE)

10. Writing the model in SAS notation determination(sample )

11. Staggered Nested Sampling Experiments (SNSE)

13. Effects Model Completely Randomized Design (CRD)

14. Completely Randomized Factorial Design (CRFD) Improved power from hidden replication Ability to estimate interaction effects

15. Two-level factorial designs

17. Regression model for two-level factorial

18. Completely Randomized Fractional Factorial Designs Model

20. Randomized Complete Block Designs (RCB) Increase precision of estimates of treatment differences, and power for detecting differences in treatments Broaden the basis for conclusions

21. (GCB) (RCBF)

23. Split Plot Model with Completely Randomized Design in the Whole Plots (CRSP) This is called a Split Plot Model with Randomized Block Design in the Whole Plots (RBSP)

25. run x 1 x 2 1 -1 -1 2 1 -1 3 -1 1 4 1 1 5 0 0 6 -α 0 7 α 0 8 0 -α 9 0 α Factorial Portion Center Points Axial Portion Completely Randomized Response Surface Design (CRRS) CCD BBD