At a recent meeting, the manager of a national call center for a major Internet bank made the statement that the average past-due amount for customers who have been called previously about their bills is now no larger than 20.00.
Other bank managers at the meeting suggested that this statement may be in error and that it might be worthwhile to conduct a test to see if there is statistical support for the call center manager's statement. The file called Bank Call Center contains data for a random sample of 67 customers from the call center population. Assuming that the population standard deviation for past due amounts is known to be 60.00, what should be concluded based on the sample data? Test using = 0.10.A) Because p-value = 0.4121 > alpha = 0.10, we do not reject the null hypothesis.
The sample data do not provide sufficient evidence to reject the call center manager's statement that the mean past due amount is 20.00 or less.
B) Because p-value = 0.4121 > alpha = 0.10, we reject the null hypothesis.
The sample data provide sufficient evidence to reject the call center manager's statement that the mean past due amount is 20.00 or less.
C) Because p-value = 0.2546 > alpha = 0.10, we do not reject the null hypothesis.
The sample data do not provide sufficient evidence to reject the call center manager's statement that the mean past due amount is 20.00 or less.
D) Because p-value = 0.2546 > alpha = 0.10, we reject the null hypothesis.
The sample data provide sufficient evidence to reject the call center manager's statement that the mean past due amount is 20.00 or less.
Question 2
The U.S. Census Bureau (Annual Social & Economic Supplement) collects demographics concerning the number of people in families per household. Assume the distribution of the number of people per household is shown in the following table:
x P(x)
2 0.27
3 0.25
4 0.28
5 0.13
6 0.04
7 0.03
Calculate the expected number of people in families per household in the United States.
A) 2.71
B) 3.33
C) 3.51
D) 4.33
Total fertility rates (TFRs) among major regions of the world.
The recent mass upheavals in Tunisia, Egypt, Libya, Yemen, and Syria gave political scientists a cha
Hurricane Paths: Major Hurricane History