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WebThe build that generated this data was an 32-run 2^5 full >factorial. From your item, it's cannot possible to tell what you did or exactly what happened -- either on R or in Minitab (and JMP). Moreover, bcause one design is orthogonal and the factors will bifurcate, it's remarkably difficult to get this investigation wrong, at least in R. WebLet's say I am running a study where I am testing whether how high a dog can jump is different depending on whether the dog takes drugs or goes for walks. I have dogs either take 1 pill or 2 pills. I also have the dogs take either 1 walk or 2 walks. When looking at normality, does the data OVERALL need to be normal, or does the data need to be ... WebClassic one-way ANOVA assumes equal variances within each sample group. If that isn’t a valid assumption for your data, you have a number of alternatives. Calculating a one-way … china buffet overland park