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In this article, we will look at whether the improvement target set for a project makes sense in the presence of historical variation present in the process and the data and/or the time we usually have to validate the improvements.
In this article, we look at some of the pitfalls when performing correlation analysis. Firstly, what can go wrong when we compute the correlation coefficients and secondly, what can go wrong when we tray to infer causal factors from the correlation study.
Sampling is a powerful statistical tool that helps you make good conclusions about the population with limited data but you have to be cautious on how you select the right sample size.