The Central Limit Theorem states that if n is large then the
The Central Limit Theorem states that:
if n is large then the distribution of the sample can be approximated closely by a normal curve
if n is large, and if the population is normal, then the variance of the sample mean must be small.
if n is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve
if n is large, and if the population is normal, then the sampling distribution of the sample mean can be approximated closely by a normal curve
Solution
the correct answer is
if n is large,then the sampling distribution of the sample mean can be approximated closely by a normal curve.
*[central limit theorem states nothing about the population]
