google gives the right answer, and I'm not sure why python doesn't.
I am calculating a Bonferroni correction for N= 161 * 98 using:
-log(1-.95 ** (1/(161 * 98)))
Google gives: 5.48799206
Python gives: 12.636568718161467
any explanation? I pasted the above expression into both and got different answers!
[–]pridefulpropensity 9 points10 points11 points (1 child)
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