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For background on Technical Debt: Wikipedia; D. Sculley et al., [Machine Learning: The High-Interest Credit Card of Technical Debt](https://ai.google/resear
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Near the end of my first statistics class, I was introduced to the concept of a
hypothesis test: given two sample sets, determine the probability that they were
drawn from the same population. If this is less than your desired p-value
(typically 5% or less, depending on your field), you can reject the [null-hypothesis][1]
and accept the alternative hypothesis that the two samples are indeed from different
populations.
This was presented to me in the context of social sciences, but it comes up in