CORRECT 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.
True
False - ANSWERS✔-True
\Q\.As the size of the sample increases, the
________________________________.
population standard deviation increases
standard error of the mean becomes smaller
shape of the sampling distribution becomes wider
sampling error increases - ANSWERS✔-standard error of the mean becomes
smaller
\Q\.The Central Limit Theorem plays an important role in statistics because it
provides information about the shape of the
, sampling distribution when the sample size is sufficiently large.
sampling distribution for any sample size.
population distribution for any sample size.
population distribution when the sample size is sufficiently large. - ANSWERS✔-
sampling distribution when the sample size is sufficiently large.
\Q\.A ________ sample is a sample in which each member of the population has a
known, nonzero, chance of being selected for the sample.
systematic
simple random
probability
convenience - ANSWERS✔-probability
\Q\.Sampling error is the difference between a sample statistic and a population
parameter.
True
False - ANSWERS✔-True
\Q\.The Central Limit Theorem (CLT) states that the sample means
of large-sized samples will be uniformly distributed regardless of the shape of
their population distributions.