Statistical Formulas for Programmers (2013)

Statistical Formulas For Programmers By Evan Miller May 19, 2013 Being able to apply statistics is like having a secret superpower. Where most people see averages, you see confidence intervals. When someone says “7 is greater than 5”, you declare that they’re really the same. In a cacophony of noise, you hear a cry for help. Unfortunately, not enough programmers have this superpower. That’s a shame, because the application of statistics can almost always enhance the display and interpretation of data. As my modest contribution to developer-kind, I’ve collected together the statistical formulas that I find to be most useful; this page presents them all in one place, a sort of statistical cheat-sheet for the practicing programmer. Most of these formulas can be found in Wikipedia, but others are buried in journal articles or in professors’ web pages. They are all classical (not Bayesian), and to motivate them I have added concise commentary. I’ve also added links and references, ... Read full article.