1.Suppose we wish to testH₀: 47 versusH₁:> 47. What will result if we conclude that the mean is greater than 47 when its true value is really 52?

a. We have made a Type II error.

b. We have made a Type I error.

c. We have made a correct decision.

d. None of the above are correct.

2.One of the biggest issues facing e-retailers is the ability to turn browsers into buyers. This is measured by the conversion rate, the percentage of browsers who buy something in their visit to a site. The conversion rate for a company's website was 10.1%. The website at the company was redesigned in an attempt to increase its conversion rates. A sample of 200 browsers at the redesigned site was selected. Suppose that 24 browsers made a purchase. The company officials would like to know if there is evidence of an increase in conversion rate at the 5% level of significance.

Referring to Table 9-8, the null hypothesis will be rejected if the test statistic is

a. greater than 1.645.

b. less than 1.645.

c. greater than 1.645.

d. less than 1.645.

3.The mean weight of newborn infants at a community hospital is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. Has the mean weight of newborn infants changed?

What is the sample variance?

a. 1.177

b. 6.6

c. 1.385

d. 7.6

4.You have created a 95% confidence interval for with the result 10 15. What decision will you make if we testH₀:=16 versusH₁: 16 at = 0.01?

a. Do not rejectHoin favor ofH₁.

b. Fail to rejectHoin favor ofH₁.

c. RejectHoin favor ofH₁.

d. You cannot tell what our decision will be from the information given.