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Statistical Formulas for Programmers (2013)
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.
\[ {\rm df} = \frac{(s_1^2/n_1+s_2^2/n_2)^2}{(s_1^2/n_1)^2/(n_1-1)+(s_2^2/n_2)^2/(n_2-1)} \] It’s common to report the relative proportions of binary outcomes or categorical data, but in general these are meaningless without confidence intervals and tests of independence. Pearson’s chi-squared test can detect whether the distribution of row counts seem to differ across columns (or vice versa). My desktop statistics software Wizard can help you analyze more data in less time and communicate discoveries visually without spending days struggling with pointless command syntax.
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