From the course: Six Sigma: Black Belt
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ANOVA
- What if you want to test for differences in population means across multiple groups? It may be processing times, dimensions, or any characteristic that is continuous data, such as my 100 meter sprint compared to champions like Usain Bolt. When comparing the performance of two or more groups, the ANOVA test uses sample data to evaluate and make inferences on whether population means are statistically different or not. And if they are different, pairwise comparisons can be made to determine which ones are different. Let's run ANOVA using Minitab. To get started, download the file ANOVAdata.mtw from the exercise files and open it. Here we have four groups, continuous data. And we're interested in testing the means across the four groups, essentially running an ANOVA test. But before we do that, check for normality and equal variances. For normality, go up to Graphs, Probability Plot. Since you have multiple groups, choose Multiple and highlight those four. Select and run the test…
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