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

the figures below are made out of circles, semicircles, quarter … find the area and the perimeter of each figure and give your answers as a completely simplified exact value in terms of π (no approximations). remember that we'll also have to cut whatever areas we get in half, since we're only dealing im pretty sure that is the right answer

step-by-step explanation:

step-by-step explanation:

de-gf

hj=3x+20

ji=15x-64