The Friedman Test is a non-parametric statistical test used in Six Sigma to compare the differences between groups when the same subjects are involved in each group. It is an extension of the Wilcoxon signed-rank test for more than two related samples. The test ranks the data across the groups and evaluates whether there are significant differences between them. It’s particularly useful when the assumptions of repeated measures ANOVA are not met. The Friedman Test helps identify variations in data due to different treatments or conditions, guiding process improvements and informed decision-making by providing insights into the consistency and impact of changes across related samples.
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