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The Data

On two occasions I have been asked, “Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?” . . . I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question.

—Charles Babbage

A good data set is the foundation of a successful statistical review of compensation. The old adage of “garbage in, garbage out” could not be more fitting. Any quantitative analysis is only as good as the underlying data set. Inaccuracies and inconsistencies in the data not only can render the analysis inaccurate and unreliable but can also lead to incorrect inferences regarding ...

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