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Scores on a test are normally distributed with a mean of 68.2 and a standard deviation of 10.4. Estimate the probability that among 75 randomly selscted students, at least 20 of them score greater that 78.

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First, find the probability of scoring higher than 78. Scores are normally distributed, so you have


\mathbb P(X>78)=\mathbb P\left((X-68.2)/(10.4)>(78-68.2)/(10.4)\right)\approx\mathbb P(Z>0.9423)\approx0.173

Now, the event that any given student scores higher than 78 follows a binomial distribution. Here you have 75 total students (so
n=75) with success probability
p=0.173.

So the probability of getting 20 students that fit the criterion is


\mathbb P(Y=20)=\dbinom{75}{20}p^(20)(1-p)^(75-20)\approx0.0134
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