a) For a sufficiently large sample size, the sampling distribution of the sample mean is:
Select all that apply.
centered at and has a spread of
/
n
approximately normally distributed.
roughly symmetric.
the same as the population distribution.
is centered at and has a spread of
(b) Given the population distribution is normal, what sample size is considered to be "sufficiently large" in order for the Central Limit Theorem to hold?
The sample size must be 12 or greater.
The sample size must be 30 or greater.
The sample size can be 1 or greater.
(c) Given the population distribution is somewhat symmetric, what sample size is considered to be "sufficiently large" in order for the Central Limit Theorem to hold?
The sample size can be 1 or greater.
The sample size must be 30 or greater.
The sample size must be 12 or greater.
(d) Given the population distribution is very skewed, what sample size is considered to be "sufficiently large" in order for the Central Limit Theorem to hold?
The sample size must be 30 or greater.
The sample size can be 1 or greater.
The sample size must be 12 or greater.
