Question

An information technology analyst believes that they are losing customers on their website who find the checkout and purchase system too complicated. She adds a​ one-click feature to the website to make it​ easier, but finds that only about 7​% of the customers are using it. She decides to launch an ad awareness campaign to tell customers about the new feature in the hope of increasing the percentage. She​ doesn't see much of a​ difference, so she hires a consultant to help her. The consultant selects a random sample of recent​ purchases, tests the hypothesis that the ads produced no change against the alternative that the percent who use the​ one-click feature is now greater than 7​%, and finds a​ P-value of 0.59. What conclusion is​ appropriate? Which conclusion is​ appropriate? A. There is a 59​% chance that natural sampling variation could produce poll results like these if​ there's really no change in website use. B. There is a 41​% chance that the ads worked. C. There is a 59​% chance that natural sampling variation could produce poll results like these if the use of the​ one-click feature has increased. D. There is a 59​% chance that the null hypothesis is true. E. There is a 59​% chance that the ads worked.

Answer 1

option A is correct

A. There is a 59​% chance that natural sampling variation could produce poll results like these if​ there's really no change in website use.