Suppose Burger King has run a major advertising campaign in the hopes of increasing monthly sales. To investigate the effectiveness of this campaign, Burger King randomly selected six restaurants and recorded the monthly sales before and after the advertising. The following data represents these sales figures in thousands of dollars.
If Population 1 is defined as sales after the advertising campaign and Population 2 is defined as sales before the advertising campaign, and using
α = 0.05, the conclusion for this hypothesis test would be that because the test statistic is
▸ less than the critical value, we can conclude that the average restaurant sales per month after the advertising campaign are higher than the average restaurant sales per month before the advertising campaign.
▸ less than the critical value, we cannot conclude that the average restaurant sales per month after the advertising campaign are higher than the average restaurant sales per month before the advertising campaign.
▸ more than the critical value, we can conclude that the average restaurant sales per month after the advertising campaign are less than the average restaurant sales per month before the advertising campaign.
▸ more than the critical value, we can conclude that the average restaurant sales per month after the advertising campaign are higher than the average restaurant sales per month before the advertising campaign.
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