Which of the following is true about the sampling distribution of the sample mean?

a. the standard deviation of the sampling distribution is always

sigmaσ.

b. the shape of the sampling distribution is always approximately normal.

c. the mean of the sampling distribution is always

muμ.

d. all of the above are true.

C.The mean of the sampling distribution is always

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean and standard deviation , a large sample size, of at least 30, can be approximated to a normal distribution with mean and standard deviation .

So

A is wrong, because it is

B is wrong, you need a sample size of at least 30.

So the correct answer is:

C.The mean of the sampling distribution is always

first one is a: renaming a fraction. second one is c: de-c

step-by-step explanation:

my explanation is that these were the answers on edg : )

you need to rotate this triangle about the origin 270 degrees clockwise to create the full square.