One Way Anova Test Example. The anova test is performed by comparing two types of variation the variation between the sample means as well as the variation within each of the samples. Select response data are in one column for all factor levels.
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Six samples of each paint blend were applied to a piece of metal. This is the ratio of the average between variation to the average within variation in addition this ratio is known to follow an f distribution. H 0 null hypothesis.
Six samples of each paint blend were applied to a piece of metal.
The anova test is performed by comparing two types of variation the variation between the sample means as well as the variation within each of the samples. A chemical engineer wants to compare the hardness of four blends of paint. Learn more about minitab. To test the effect of cause x on the ctq y.
