Examples using SAS. (Page numbers correspond to course notes.)

• Example 1: Rats in a maze. (8,13-19)

• Example 2: Machines with operators. (12,20-29)

• Example 3: Sleep deprivation. Multiple comparison tests. (46-60)

• Example 2 Revisited: Time trend adjusted multiple comparisons. (74-77)

• Example 4: Loom Data. Hartley's and Cochran's HOV tests. (85-87)

• Example 4: Loom Data. Bartlett's, Brown-Forsythe's, Levene's, and O'Brien's HOV tests. (85-87)

• Example 5. Analysis with and without a transformation of the response. (91-94,97)

• Example 5. Determining a transformation using the empirical method and using a Box-Cox procedure. (91,95-96)

• Example 6. ANOVA for random batches of raw materials and variance component estimation using Proc Varcomp. (102-105)

• Example 7. Kruskal-Wallis Tests. (108-109)

• Example 8. Randomized complete block design. (114,118-121)

• Example 9. Montgomery Problem 4-2. ERE(RCBD to CRD) output. (125,128)

• Example 10. RCBD with missing observation. Type I vs Type III analyses. (126-127,129)

• Example 11. Friedman's Test (Daniel data). (137-139)

• Example 12. Simple repeated measures design (Winer data). (143-147)

• Example 13. Latin square design example (Cochran and Cox data). (154-161)

• Example 14. Replicated latin square design (RLSD-1) (Lentner and Bishop data). (167,171-172)

• Example 15. Replicated latin square design (RLSD-3) (Lentner and Bishop data). (167,173-174,177)

• Example 16. Replicated latin square design (RLSD-2) (Fleiss data). (167-168,175-177)

• Example 16 (#2, oops). Balanced incomplete block design (Box, Hunter, and Hunter data). (182-183,186-187)

• Example 17. Two-factor factorial design (2x2). (188,195-198,201)

• Example 18. Two-factor factorial design (3x2). (192,199-200,202)

• Example 17 revisited. HOV test and Bonferroni MCT using Proc Glm and Proc Mixed. (204-209)

• Examples 19 and 20. Two-factor factorial designs -- random effects model and mixed effects model. (213-218)

• Example 21. Three-factor factorial design. (Montgomery, Problem 5-16). (219-226)

• Example 22. Two-factor factorial design with blocks. (Montgomery, Problem 5-19). (219,227-231)

• Example 23. Using SAS to generate expected mean squares table for three factor factorial designs -- (i) all factors random (ii) two factors fixed, one factor random. (236-239)

• pdf file of operating characteristic curves for determination of sample size.

• Example 24. Two-stage nested design. (Hicks, P.173-178). (253,260-264)

• Example 25. Three-stage nested design. (Hicks, P.173-178). (265-268)

• Example 26. Design with nested and crossed effects. (269-273)

• Example 27. Design with nested and crossed effects. (269,274-277)

• Example 28. Split plot design. (285,288-291)

• Example 29. Split-split plot design. (292-300)

Data sets.

• Data set for Example 27.

• Midterm data set.

• Data set for midterm problem 2.

• Data set for Homework 6.

• pdf file for Homework #7.

• Data set for Homework #.

• Data set for Homework #.

• Data set for Example 27.

• Data set for Final Exam problem 1.

• Data set for Final Exam problem 4.