# What statistical test for an A/B split using revenue and impressions? (Continuous Vars.)

Ad Copy A might have 30 k impressions (number of times ad was displayed) with approximately $700 in revenue. Ad Copy B might have 60 k impressions with approximately$600 worth of revenue.

Originally I thought I should use a chi-squared distribution -- but thought against it as the variables used, were not discrete but continuous (revenue could be from 0 to infinity).

I was looking online and I saw something regarding a MWW test (Mann-Whitney U Test) used for testing web pages vs. the revenue per visitor.

Is this the correct test to use for my split? Does anyone have any other suggestions regarding what statistical test I can use to reject my null hypothesis(H0: there is no statistically significant difference between the two ad copies; or in other words, A and B cannot be compared because such differences in performance could be due to experimental/sampling size errors).