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Suppose that a particular candidate for public office is in fact favored by 48%of all registered voters in the district. A polling organization will take a random sample of 500voters and will use p, the sample proportion, to estimate p. What is the approximate probability that p will be greater than 0.5, causing the polling organization to incorrectly predict the result of the upcoming election?

User Fenix
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1 Answer

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Answer: 0.1854

Explanation:

Given : Suppose that a particular candidate for public office is in fact favored by 48% of all registered voters in the district.

Let
\hat{p} be the sample proportion of voters in the district favored a particular candidate for public office .

A polling organization will take a random sample of n=500 voters .

Then, the probability that p will be greater than 0.5, causing the polling organization to incorrectly predict the result of the upcoming election :


P(\hat{p}>0.5)=P(\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}}>\frac{0.5-0.48}{\sqrt{(0.48(0.52))/(500)}})\\\\=P(z>0.8951)\ \ [\because\ z=(\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}}]\\\\=1-P(z\leq0.8951)\ \ [\because\ P(Z>z)=1-P(Z\leq z)]\\\\ = 1-0.8146=0.1854

Required probability = 0.1854

User JoelPrz
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