Question 851042: Which of the following is true and applicable of the Central Limit Theorem?
Check all that apply
Question 2 options:
The sample drawn from the population doesn't have to be randomized as long as the population is normal.
The sample can be from any population, even a non-normal population as long as the sample is randomized and larger than 25 or 30.
The mean of the sample distribution is equal to the mean of the population distribution.
The standard deviation of the sampling distribution is equal to the population distribution divided by the square root of the number in the sample.
As the number in the sample becomes larger and larger, then the mean of the sampling distribution is equal to the population distribution for any normal population.
Answer by stanbon(75887)   (Show Source):
You can put this solution on YOUR website! Which of the following is true and applicable of the Central Limit Theorem?
Check all that apply
Question 2 options:
The sample drawn from the population doesn't have to be randomized as long as the population is normal.:: false
------------------------
The sample can be from any population, even a non-normal population as long as the sample is randomized and larger than 25 or 30 :: true
------------------------
The mean of the sample distribution is equal to the mean of the population distribution:: true
------------------------
The standard deviation of the sampling distribution is equal to the population distribution divided by the square root of the number in the sample:: true
-----------------------------
As the number in the sample becomes larger and larger, then the mean of the sampling distribution is equal to the population distribution for any normal population:: ?
====================
Cheers,
Stan H.
=====================
|
|
|
