Some good "Statistics for programmers" resources - Julia Evans: "One of the biggest problems with tests like the chi-squared test is that they make a lot of assumptions about how your data was generated. Usually they assume that your data is normally distributed. Not everything follows a normal distribution!
So – can I figure out if my change really made my code faster or not without having to make a bunch of assumptions?
It turns out the answer is “yes”, and that there’s a whole subfield of statistics devoted making less assumptions (“nonparametric statistics”). And even better – that subfield is actually easier to use than regular statistics."
'via Blog this'
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