a. the age of a typical voter.
b. the party affiliation of a typical voter.
c. the sex of a typical voter.
d. the county of residence of a typical voter.
e. none of the above
7. The long-run average of a random variable is
a. the expected value
b. the coefficient of determination
c. the standard deviation
d. the
mode
e. none of the above
8. A manufacturer of women’s blouses has noticed that 80% of their blouses have no flaws, 15% of their blouses
have one flaw, and 5% have two flaws. If you buy a new blouse from this manufacturer, the expected number
of flaws will be
a. 0.15
b. 0.20
c. 0.80
d. 1.00
e. none of the above
9. If population A has a larger standard deviation than population B, which of the following is NOT true?
a. Population B has a smaller variance than population A.
b. The mean of a sample of 20 from population A has a larger standard deviation than the
mean of a sample of 20 from population B.
c. A typical observation from population A will be farther from the mean of population A
than a typical observation from B will be from the mean of population B.
d. The mean of a sample from population A will on average be larger than the mean of a
sample from population B.
e. none of the above
10. An inspector needs to learn if customers are getting fewer ounces of a soft drink than the 28 ounces stated on
the label. After she collects data from a sample of bottles, she is going to conduct a test of a hypothesis. She
should use
a. a two tailed test.
b. a one tailed test with an alternative to the right.
c. a one tailed test with an alternative to the left.
d. either a one or a two tailed test because they are equivalent.
e. none of the above
11. The manufacturer of Anthony Big’s exercise equipment is interested in the relationship between the number
of months (X) since the equipment was purchased by a customer and the number of hours (Y) the customer
used the equipment last week. The result was the regression equation Y = 12 - 0.5X. The number 0.5 in the
equation means that the average customer
a. used the equipment for 30 minutes last week.
b. who has owned the equipment an extra month used the equipment 30 minutes less last
week than the average customer who has owned it one month less.
c. who just bought the equipment used it 30 minutes last week.