Timeline for Check population randomness in an A/B test?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Jan 27, 2016 at 16:17 | comment | added | Glen_b | Computing a z-score doesn't of itself require a normal distribution; it's just how many standard deviations from some mean you are. If they're doing some hypothesis test, that might need normality (though if we're looking at say binomial proportions there's no need to use a test that assumes normality) -- but even using a test that assumes normality, you may not be better testing that assumption; if it's not reasonable to simply assume normality, it's may actually be better just to not assume it. | |
| Jan 27, 2016 at 15:59 | vote | accept | Pholochtairze | ||
| Jan 27, 2016 at 11:56 | comment | added | Pholochtairze | Thank you for your answer! I believe they want to check for normality because for hypothesis testing you want to compute the Z score for instance, and it is based on a normal distribution. So they want to check for it. | |
| Jan 27, 2016 at 11:49 | history | answered | Glen_b | CC BY-SA 3.0 |