gostevehoward

4 ms·

1.
by gostevehoward 13y ago
Wow this bookmarklet is awesome! I'm going to start using it. Thanks!
2.
by gostevehoward 13y ago
Small follow-up question: I'm curious how your sample size calculator chooses its value. Traditional power analysis asks for two proportions rather than for a proportion and an effect size. So the sample size for a positive effect differs f
3.
by gostevehoward 13y ago
These are great! Thank you Evan. Your sample size calculator is wonderful and beats the hell out of the 90s tool I've been using which cautions me that my browser must support "JavaScript" to use it :) As an alternative to the Chi-squared c
4.
by gostevehoward 14y ago
I'm impressed with how nicely this handles the whole A/B testing stack. But the statistics have some potentially important shortcomings -- I posted a github issue about it: https://github.com/maccman/abba/issues/3 (Full disclosure: I auth
5.
by gostevehoward 14y ago
Well either the app object is global, in which case you've got global mutable state, or you're defining your handler functions later than module load time, which is pretty uncommon practice.
6.
by gostevehoward 14y ago
Some might say it's a dangerous abuse of decorators. Since decorators (generally) run at module load time, any stateful decorator (usually) implies the use of global mutable state, which is (considered by many to be) the root cause of much
7.
by gostevehoward 15y ago
Theirs has a nice, simple presentation which makes it very easy to use, especially for casual users. But it includes much less information (no confidence intervals and p-values are only approximate), uses much simpler statistics (z-test wit