Chapter 7: Q AP2.13. (page 490)
The country with a literacy rate of is closest to which of the following
percentiles?
a.
b.
c.
d.
e. There is not enough information to calculate the percentile.
Short Answer
The correct option is (a)
Chapter 7: Q AP2.13. (page 490)
The country with a literacy rate of is closest to which of the following
percentiles?
a.
b.
c.
d.
e. There is not enough information to calculate the percentile.
The correct option is (a)
All the tools & learning materials you need for study success - in one app.
Get started for freeIn a residential neighborhood, the median value of a house is . For which of the
following sample sizes is the sample median most likely to be above ?
(a)
(b)
(c)
(d)
(e) Impossible to determine without more information.
Increasing the sample size of an opinion poll will reduce the
a. bias of the estimates made from the data collected in the poll.
b. variability of the estimates made from the data collected in the poll.
c. effect of nonresponse on the poll.
d. variability of opinions in the sample.
e. variability of opinions in the population.
The number of hours a lightbulb burns before failing varies from bulb to bulb. The population distribution of burnout times is strongly skewed to the right. The central limit theorem says that
a. as we look at more and more bulbs, their average burnout time gets ever closer to the mean for all bulbs of this type.
b. the average burnout time of a large number of bulbs has a sampling distribution with the same shape (strongly skewed) as the population distribution.
c. the average burnout time of a large number of bulbs has a sampling distribution with a similar shape but not as extreme (skewed, but not as strongly) as the population distribution.
d. the average burnout time of a large number of bulbs has a sampling distribution that is close to Normal.
e. the average burnout time of a large number of bulbs has a sampling distribution that is exactly Normal.
Bias and variability The figure shows approximate sampling distributions of different
statistics intended to estimate the same parameter.
a. Which statistics are unbiased estimators? Justify your answer.
b. Which statistic does the best job of estimating the parameter? Explain your answer.
A machine is designed to fill 16-ounce bottles of shampoo. When the machine is working properly, the amount poured into the bottles follows a Normal distribution with mean 16.05 ounces and standard deviation ounce. Assume that the machine is working properly. If 4 bottles are randomly selected and the number of ounces in each bottle is measured, then there is about a probability that the sample mean will fall in which of the following intervals?
a. to ounces
b. to ounces
c. to role="math" localid="1654391534650" ounces
d. to ounces
e. to ounces
What do you think about this solution?
We value your feedback to improve our textbook solutions.