Questions to ask before action is taken.
Most who perform statistical analyses that guide organizations to solve problems do not have advanced degrees in statistics. We’ve attended classes at university, engaged in varying levels of Six Sigma training, or conducted self-study.
But I think it is safe to say we all have learned that statistically evaluating a set of data is complicated and rife with uncertainty. We choose among many possible statistical tools, and numbers “pop” out telling us if our hypothesis is correct. From those data, we proceed to either take an action or not take an action, depending on the statistical results.
Yet how many finish an analysis and wonder what if it is wrong? Did I have enough data? Did I choose the proper statistical tool? Do I even know the proper statistical tool? Arghh! (I suspect doctors of statistical science also have “arghh” moments.)
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