Companies pay large amounts of money to make sure their Web sites are highly ranked on Google. Advanced Web Ranking reported that if your Web site is the very first search result on Google, desktop users will click on that result 34% of the time (this is called a click-through rate). Suppose that a certain company asks its Web manager to report the company's click through rate. He conducts a random sample of 594 users and reports a click-through rate of 45%. Does this sample give the company reason to believe its results are working better than usual? Or could this just be a lucky result?

a)Determine the hypotheses for this test

b)Calculate the test statistic.

c)P-value=

d)State the conclusion of the test. Choose the correct answer below.

a. because the P-value is high, reject H0. These data do not show that the company's click-through rate is higher than average but the sample may have selection bias.

b. because the P-value is low, fail to reject H0. These data do not show that the company's click-through rate is higher than average but the sample may have selection bias.

c. because the P-value is high, fail to reject H0. These data show that the company's click-through rate is higher than average but the sample may have selection bias.

d. because the P-value is low, reject H0. These data show that the company's click-through rate is higher than average but the sample may have selection bias.