If p = .8 and n = 50, then we can conclude that the sampling distribution of pˆ p ^ is approximately a normal distribution.

Expected value of the sampling distribution of P^:

E(p^) = p=0.8

Standard Error(SE) of the Sample Proportion:

√ (p(1-p) / n)=√ (0.8(1-0.8) / 50)=0.0693

Step-by-step explanation:

If you have a large enough sample size, you can use the normal distribution for the sampling distribution of p^.

How large is “large enough”? Use these formulas for a general guideline:

nPp^≥5

n(1-p^)≥5.

Here

50*0.8=40>5

50*(1-0.8)=10>5

Both are above 5, so we can use the normal distribution.

Expected value of the sampling distribution of P^:

E(p^) = p=0.8

Standard Error(SE) of the Sample Proportion:

√ (p(1-p) / n)=√ (0.8(1-0.8) / 50)=0.0693

Hope this will be helpful. Thank and God Bless You :)

which of the following can speed up the rate at which the liver breaks  

down alcohol?

question 1 options:

carbohydrates  

coffee  

nothing  

high-protein meals  

step-by-step explanation:

the answer is (4,3)

since the rule for r0, 90º is (-y,x) and it was already applied to form the image, all you have to do is reverse the answer using this formula.