A company has collected its sales data of a certain product for 8 days before and after an ad campaign was run. The sales numbers (in thousands) before and after the ad campaign are as follows: before [69, 85, 59, 73, 91, 64, 86, 79], after [44, 79, 76, 69, 49, 71, 74, 50]. The researchers do NOT believe that the underlying distributions are normal, and want to take the magnitude of the difference into account. Apply a suitable statistical test to see whether the campaign was useful. What are the correct test value and decision at a confidence level of 95%?
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