Systems Engineering by Ricardo Valerdi
May 2022
Combining data may result in the wrong conclusion
We often make decisions with data, but
sometimes how we decide to group or
separate the data could lead us to incorrect
conclusions. One example of this
is Simpson’s paradox, a statistical trend
that appears to be present when data are
considered separately but disappears or
reverses when data are considered as a
whole. This can happen in a variety of
contexts such as business, medicine and
in professional sports.
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