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This repository has been archived by the owner on Jan 2, 2021. It is now read-only.
I noticed one of the parameters in bootstrap_ab is scale_test_by. The docstring reads:
scale_test_by: The ratio between test and control population
sizes. Use this if your test and control split is different from a
50/50 split. Defaults to 1.0.
However, looking at the implementation, it's using this ratio to multiply the whole dist. Is this value only needed when using stat_functions.sum? It's not clear to me why I would scale the values on my test sample when I am testing the mean on both samples.
I noticed one of the parameters in bootstrap_ab is scale_test_by. The docstring reads:
However, looking at the implementation, it's using this ratio to multiply the whole dist. Is this value only needed when using stat_functions.sum? It's not clear to me why I would scale the values on my test sample when I am testing the mean on both samples.
test_ctrl_dist = compare_func(test_dist * scale_test_by, ctrl_dist)
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