A test will run for 40 days with a significance level of 95% and a minimum detectable lift of 2.5%. Which adjustment should be recommended to reduce the test duration?
I feel like we discussed this in class, and increasing the number of offers might be the best way to get results faster. I hope I’m remembering that correctly!
I remember a practice question where we had to adjust sample sizes, and increasing the number of offers seemed to speed things up. Maybe that's the right choice here?
This is a tricky one, but I think increasing the minimum detectable lift is the right call. That will make the test more sensitive and allow us to reach a conclusion faster. Seems like the most straightforward way to reduce the test duration.
I'm not totally sure about this one. The options all seem plausible, but I'm not confident I fully understand the implications of each approach. I'll have to think it through carefully.
Okay, I think I've got this. If we want to reduce the test duration, increasing the minimum detectable lift is the way to go. That will make the test more sensitive and require less time to reach statistical significance.
Hmm, I'm a bit confused on this one. Increasing the minimum detectable lift seems like it could work, but I'm not sure if that's the best approach. Maybe increasing the number of offers or the confidence level would be better?
This seems like a straightforward A/B testing question. I think increasing the minimum detectable lift would be the way to go to reduce the test duration.
Hold up, are we really gonna sacrifice confidence for speed? I'd rather have a solid 95% than some shaky result. Although, a bit of humor could lighten the mood - how about a 'confidence level' of 420%?
Hmm, increasing the minimum detectable lift seems like the way to go. Who wants to wait 40 days for a measly 2.5% lift anyway? Bring on the bigger changes!
Val
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