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3 years ago

13

Somebody please anwser this.

1 answer:

Serhud [2]3 years ago

7 0

Answer:

I think it is (0,2)

Step-by-step explanation:

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A survey by the Pew Research Center asked a random sample of 2142 U.S. adults and a random sample of 1055 college presidents how

gayaneshka [121]

Answer: 0.0125

Step-by-step explanation:

Given : A survey by the Pew Research Center asked a random sample of 2142 U.S. adults and a random sample of 1055 college presidents how they would "rate the job the higher education system is doing in providing value for the money.

5% the U.S. adults and 17% of the college presidents provided a rating of "Excellent."

i.e. $n_1=2142,\ n_2=1055$

$p_1=0.05$ , $p_2=0.17$

The standard error of the difference in sample proportions :-

$\sqrt{\dfrac{p_1(1-p_1)}{n_1}+\dfrac{p_2(1-p_2)}{n_2}}$

$=\sqrt{\dfrac{0.05(1-0.05)}{2142}+\dfrac{0.17(1-0.17)}{1055}}\\\\=0.0124867775151\approx0.0125$

Hence, the standard error of the difference in sample proportion = 0.0125

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3 years ago