What would happen to the mean of the sampling distribution of p-hat if the statistics major predicted the sampling distribution of p-hat for samples of size 500 instead of size 100?

Step-by-step explanation:

If repeated sample sizes of large sizes are taken at random, and proportion P is calculated for samples the sample mean will have a normal distribution irrespective of the original distribution.

In other words, the sample proportion will follow a normal distribution with mean = p-hat and std deviation =

This is a direct corrollary of central limit theorem for sample means.

Hence we have irrespective of sample size, sample proportion will have expected value same as p-hat.

So whether sample size is 500 or 100 the p hat will have the same distribution.

see below

step-by-step explanation:

x+2> 6

subtract 2 from each side

x+2-2 > 6-2

x > 4

there is an open circle at 4 since is it is greater than and the line goes to the right

the area of ​​the surface of the rectangular prism here is 250 cm2, which is the surface of the shading

step-by-step explanation: