QMB EXAM 3 REVIEW QUESTIONS
AND OUTLINED ANSWERS
\Q\.The sample means for a population that follows the normal distribution will
also be normally distributed, regardless of the size of the samples.
TrueFalse - ANSWERS✔-true
\Q\.The finite population correction factor for the standard error of the mean
should be used when the ratio of the sample size to the size of the population
exceeds ________.
a) 1%
b) 2%
c) 3%
d) 5% - ANSWERS✔-d)
\Q\.The Central Limit Theorem (CLT) states that the sample means
a) of any samples will be normally distributed regardless of the shape of their
population distributions.
b) of large-sized samples will be uniformly distributed regardless of the shape of
their population distributions.
c) of large-sized samples will be normally distributed regardless of the shape of
their population distributions.
, d) of any samples will be uniformly distributed regardless of the shape of their
population distributions. - ANSWERS✔-c)
\Q\.As the size of the sample increases, the
________________________________.
a) standard error of the mean becomes smaller
b) population standard deviation increases
c) sampling error increases
d) shape of the sampling distribution becomes wider - ANSWERS✔-a)
\Q\.The central limit theory requires.... - ANSWERS✔-a sample of at least 30 must
be used to ensure that the sample means are evenly distributed
\Q\.sampling error is the difference between a sample statistic and a population
parameter
True or false - ANSWERS✔-true
\Q\.The Central Limit Theorem plays an important role in statistics because it
provides information about the shape of the
a) population distribution when the sample size is sufficiently large.
b) sampling distribution when the sample size is sufficiently large
c) .population distribution for any sample size.
d) sampling distribution for any sample size. - ANSWERS✔-b)
AND OUTLINED ANSWERS
\Q\.The sample means for a population that follows the normal distribution will
also be normally distributed, regardless of the size of the samples.
TrueFalse - ANSWERS✔-true
\Q\.The finite population correction factor for the standard error of the mean
should be used when the ratio of the sample size to the size of the population
exceeds ________.
a) 1%
b) 2%
c) 3%
d) 5% - ANSWERS✔-d)
\Q\.The Central Limit Theorem (CLT) states that the sample means
a) of any samples will be normally distributed regardless of the shape of their
population distributions.
b) of large-sized samples will be uniformly distributed regardless of the shape of
their population distributions.
c) of large-sized samples will be normally distributed regardless of the shape of
their population distributions.
, d) of any samples will be uniformly distributed regardless of the shape of their
population distributions. - ANSWERS✔-c)
\Q\.As the size of the sample increases, the
________________________________.
a) standard error of the mean becomes smaller
b) population standard deviation increases
c) sampling error increases
d) shape of the sampling distribution becomes wider - ANSWERS✔-a)
\Q\.The central limit theory requires.... - ANSWERS✔-a sample of at least 30 must
be used to ensure that the sample means are evenly distributed
\Q\.sampling error is the difference between a sample statistic and a population
parameter
True or false - ANSWERS✔-true
\Q\.The Central Limit Theorem plays an important role in statistics because it
provides information about the shape of the
a) population distribution when the sample size is sufficiently large.
b) sampling distribution when the sample size is sufficiently large
c) .population distribution for any sample size.
d) sampling distribution for any sample size. - ANSWERS✔-b)
