You are testing the effects of two different newspaper ads on retail sales. You run ad A for a week and record daily sales at a store in Pittsburgh. You then run ad B for a week and record daily sales at that same store. You find: Daily sales with ad A: 12800, 8800, 13100, 9900, 8100, 9700 Daily sales with ad B: 10500, 8500, 12400, 12900, 10600, 10100 The sample average for A is $10,400 and the sample average for B is $10,833. You want to know whether this $433 difference is due to random chance or due to better performance by ad B. Using a hypothesis test, look for evidence that the population mean sales under ad B exceed the population mean sales under ad A. Report the p-value.
You are testing the effects of two different newspaper ads on retail sales. You run ad A for a week and record daily sales at a store in Pittsburgh. You then run ad B for a week and record daily sales at that same store. You find:
Daily sales with ad A: 12800, 8800, 13100, 9900, 8100, 9700
Daily sales with ad B: 10500, 8500, 12400, 12900, 10600, 10100
The sample average for A is $10,400 and the sample average for B is $10,833. You want to know whether this $433 difference is due to random chance or due to better performance by ad B. Using a hypothesis test, look for evidence that the population
Report the p-value.
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