Tag: Data sets

TaaG (trends at a glance) analysis is a fast way to compare trends of subsets of data across large data sets. It is an ideal tool to use in the Measure and Control phases of DMAIC (Define, Measure, Analyze, Improve, Control) projects. The value of TaaG analysis is best understood by way of example. Suppose […]

Let’s face it – without meaningful data there cannot be meaningful data analysis. Data is typically collected as a basis for measuring success and, ultimately, taking action. However, unless data is viewed realistically – separating opportune signals from probable noise – the actions taken may be inconsistent with the data collected in the first place. […]

In 1920, Sir Ronald A. Fisher invented a statistical way to compare data sets. Fisher called his method the analysis of variance, which was later dubbed an ANOVA. This method eventually evolved into Six Sigma data set comparisons. The F ratio is the probability information produced by an ANOVA. It was named for Fisher. The […]