please answer F, G, H.

write the answers by computer and tell me why if its significant or not significant in part F

Complete the novel in part G

and do part H.

Problem 5 Continued (f) (8 points) After collecting data, you decide to investigate if treatment effects are present, and want to obtain information on all pairwise comparisons, controlling for the Type I Error rate. We have the following results: Difference Fisher's Least Bonferroni Simultaneous Tukey Simultaneous Between Significant Difference 95% Conf. Limits 95% Conf. Limits Means 95% Confidence Limits for LSMean(i)-LSMean(j) for LSMean(i)-LSMean(j) 8.400 3.899 12.901 1.318 15.482 1.816 14.984 6.200 1.699 10.701 -0.882 13.282 -0.354 12.784 AD - 1.200 -5.701 3.301 -8.282 5.882 -7.784 5.384 A E 2.600 -1.901 7.101 -4.12 9.682 -3.984 9.184 -2.200 -6.701 2.301 -9.282 4.882 -8.784 4.384 BD -9.600 -14.101 -5.099 - 16.682 -2.518 -16.184 -3.016 BE -5.800 -10301 -1.299 -12.882 1.282 -12.384 0.784 C D -7.000 -11.901 -2.899 -14.482 -0.318 -13.984 -0.816 CE -3.600 -8.101 0.901 -10.682 3.482 -10.184 2984 DE 3.800 -0.701 8.301 -3.282 10.882 -2.784 10.384 Lower Upper Lower Upper Lower Upper Bound Bound Bound Bound Bound Bound Circle which comparison procedure you should use to control for the familywise error, 4, when we know that beforehand we would be interested in looking at all pairwise comparisons. Fisher's LSD Bonferroni Tukey If there are treatment effects present, which differences are significant at a = 0.05? Use the method that you selected above to answer this question. Circle your answer for each difference, a) A-B Significant Difference Difference Not Significant b) A-C Significant Difference Difference Not Significant c) A-D Significant Difference Difference Not Significant d) A-E Significant Difference Difference Not Significant e) B-C Significant Difference Difference Not Significant 1) B-D Significant Difference Difference Not Significant g) B-E Significant Difference Difference Not Significant h) C-D Significant Difference Difference Not Significant i) C-E Significant Difference Difference Not Significant i) D-E Significant Difference Difference Not Significant Problem 5 Continued (s) (7 points) Suppose a Completely Randomized Design (CRD) was run instead. Fill in the below ANOVA table corresponding to this alternative design. Round your values to 3 decimals. Source SS df MS Treatment Error Total 676 (h) (4 points) Do you believe blocking was effective when comparing a Latin Square to the Completely Randomized Design (CRD)? Why or why not? Problem 5 Continued (f) (8 points) After collecting data, you decide to investigate if treatment effects are present, and want to obtain information on all pairwise comparisons, controlling for the Type I Error rate. We have the following results: Difference Fisher's Least Bonferroni Simultaneous Tukey Simultaneous Between Significant Difference 95% Conf. Limits 95% Conf. Limits Means 95% Confidence Limits for LSMean(i)-LSMean(j) for LSMean(i)-LSMean(j) 8.400 3.899 12.901 1.318 15.482 1.816 14.984 6.200 1.699 10.701 -0.882 13.282 -0.354 12.784 AD - 1.200 -5.701 3.301 -8.282 5.882 -7.784 5.384 A E 2.600 -1.901 7.101 -4.12 9.682 -3.984 9.184 -2.200 -6.701 2.301 -9.282 4.882 -8.784 4.384 BD -9.600 -14.101 -5.099 - 16.682 -2.518 -16.184 -3.016 BE -5.800 -10301 -1.299 -12.882 1.282 -12.384 0.784 C D -7.000 -11.901 -2.899 -14.482 -0.318 -13.984 -0.816 CE -3.600 -8.101 0.901 -10.682 3.482 -10.184 2984 DE 3.800 -0.701 8.301 -3.282 10.882 -2.784 10.384 Lower Upper Lower Upper Lower Upper Bound Bound Bound Bound Bound Bound Circle which comparison procedure you should use to control for the familywise error, 4, when we know that beforehand we would be interested in looking at all pairwise comparisons. Fisher's LSD Bonferroni Tukey If there are treatment effects present, which differences are significant at a = 0.05? Use the method that you selected above to answer this question. Circle your answer for each difference, a) A-B Significant Difference Difference Not Significant b) A-C Significant Difference Difference Not Significant c) A-D Significant Difference Difference Not Significant d) A-E Significant Difference Difference Not Significant e) B-C Significant Difference Difference Not Significant 1) B-D Significant Difference Difference Not Significant g) B-E Significant Difference Difference Not Significant h) C-D Significant Difference Difference Not Significant i) C-E Significant Difference Difference Not Significant i) D-E Significant Difference Difference Not Significant Problem 5 Continued (s) (7 points) Suppose a Completely Randomized Design (CRD) was run instead. Fill in the below ANOVA table corresponding to this alternative design. Round your values to 3 decimals. Source SS df MS Treatment Error Total 676 (h) (4 points) Do you believe blocking was effective when comparing a Latin Square to the Completely Randomized Design (CRD)? Why or why not