Q.46

Question

The sampling distribution of p^ is approximately Normal because

(a) there are at least 7570 Division I college athletes.

(b) np=225 and n(1-p)=525.

(c) a random sample was chosen.

(d) a large sample size like n=750 guarantees it.

(e) the sampling distribution of p^ always has this shape.

Step-by-Step Solution

Verified
Answer

The correct answer is (b) np=225 and n(1-p)=525.

1Step 1: Given Information

Random sample size, n=750.

Division Proportion I believe that these drugs are an issue for athletes. =30%.

2Step 2: Explanation

The sampling distribution of a sample proportion is approximately normal if np and n(1-p) are at least 10 .

Consider p the percentage of Division I players who believe these drugs are an issue, and n the sample size.

p =30 %

   =0.30

n=750

3Step 3: Explanation

Substitute 750 for n and 0.30 for p in np.

np=750×0.30

     =225

Also, substitute 750 for n and 0.30 for p in n(1-p).

n(1-p)=750(1-0.30)

              =750×0.70

              =525

We can see that both np and n(1-p) are at least ten, indicating that the normal requirement is satisfied and the sampling distribution of the sample percentage is about normal.

Hence, the correct answer is (b).