get this 100% right! Note there are 4 parts. Read the whole problem!!!! Placebo 144.6 134.0 Low 130.2 127.5 High 123.5 104.4 152.3 142.1 246 114.2 119.0 113.7 604.6 120.9 133.8 125.1 115.2 602.0 120.4 57.6 123.6 Sum mean Variance Totals Mean sum X sum X^2 SSB SSW 1. Determine if the ANOVA is significant using Minitab, include the ANOVA table printout from Minitab. Report if it is significant in your own words in addition to the ANOVA Table, eg: One-way ANOVA: P, L, H Method Null hypothesis Alternative hypothesis Significance level All means are equal At least one mean is different = 0.05 Equal variances were assumed for the analysis. Factor Information Factor Factor Levels 3 Values P, L, H Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor Error Total 2 12 14 1124 1253 2377 562.2 104.4 5.38 0.021 Model Summary S 10.2191 R-sq 47.29% R-sq(adj) 38.51% R-sq(pred) 17.64% Means Factor P L H N 5 5 5 Mean 139.02 120.92 120.40 StDev 11.49 7.59 11.12 95% (129.06, (110.96, (110.44, CI 148.98) 130.88) 130.36) Pooled StDev = 10.2191 F is significant 2. Whether or not the F is significant, perform post hoc tests using Fisher's LSD in Minitab and report the results buth with Minitab output and a summary in your own words. Eg.: Two-Sample T-Test and CI: P, L Two-sample T for P vs L P L N 5 5 Mean 139.0 120.92 StDev 11.5 7.59 SE Mean 5.1 3.4 Difference = (P) - (L) Estimate for difference: 18.10 95% CI for difference: (3.03, 33.17) T-Test of difference = 0 (vs ): T-Value = 2.94 P-Value = 0.026 DF = 6 Placebo versus Low is significant etc . . . . . Note, I have only reported 1 possible comparison here. 3. Again, whether or not the F is significant, perform post hoc tests using Fisher's LSD by hand. Make 2 sure to include intermediate steps of s pool and standard error of the difference. Report which comparisons are significant. Include the appropriate t critical. Compare your T values to the ones generated in Minitab in #2 explicitly (compare every value directly and write it down for me eg: T Minitab = 2.94, T hand = 2.94, they are the same). 4. Answer the question: What can you conclude about the company's desire to use a lower dose drug