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Mathematics, 06.05.2020 00:23 mizu36011

Analysis of the oil data set. One project from Fall 1999 consisted of heating motor oil until it catches on fire. There were eight runs in random order where "conv" stands for conventional oil, "syn" stands for synthetic oil, "5/30" and "20/50" are two viscosities, and "time" is the time until catching fire. The data are as follows>> viewdata(oil)Obs type vis time 1 conv 5/30 345 2 syn 5/30 658 3 conv 20/50 360 4 syn 20/50 546 5 conv 5/30 360 6 syn 5/30 676 7 conv 20/50 342 8 syn 20/50 512Run lm in Splus or M-Lab to get the ANOVA output for determining (use full model: model time=vis+type+vis*type, after class vis type)a) if there is mean difference in oil types (conv vs. syn): p value =b) if there is mean difference in viscosity levels (5/30 vs. 20/50): p value =c) and an interaction between the factors: p value =

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