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A local statistician is interested in the proportion of high school students that drink coffee. Suppose that 20% of all high school students drink coffee.

What is the probability that out of these 75 people, 14 or more drink coffee?

1 Answer

5 votes

Answer:

the probability that out of these 75 people, 14 or more drink coffee is 0.6133

Explanation:

Given that:

sample size n = 75

proportion of high school students that drink coffee p = 20% = 0.20

The proportion of the students that did not drink coffee = 1 - p

Let X be the random variable that follows a normal distribution

X
\sim N (n, p)

X
\sim N (75, 0.20)


\mu = np = 75 × 0.20


\mu = 15


\sigma = √(p (1-p) n)


\sigma = √(0.20(1-0.20) 75)


\sigma = √(0.20*0.80* 75)


\sigma = √(12)


\sigma = 3.464

Now ; if 14 or more people drank coffee ; then


P(X \geq 14) = P((X-\mu )/(\sigma) \leq (X-\mu)/(\sigma))


P(X \geq 14) =P((14-\mu )/(\sigma) \leq (14-15)/(3.464))


P(X \geq 14) = P(Z \leq (-1)/(3.464))


P(X \geq 14) = P(Z \leq -0.28868)

From the standard normal z tables; (-0.288)


P(X \geq 14) = P(Z \leq 0.38667)


P(X \geq 14) = 1 - 0.38667


P(X \geq 14) = 0.61333

the probability that out of these 75 people, 14 or more drink coffee is 0.6133

User Mike Willis
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