A quick approximation is sometimes useful when an exact answer is not required. (a) Given any normally distributed random variable, x, with mean, μ, and standard deviation, a, use the Empirical Rule to estimate the following probabilities. (Hint: Don't forget that probabilities should be reported as numbers between 0 and 1.) P(x 2 μl +30) = P(x2 μ-20) = P(μ-0 < x≤μ +30) = P(μ-20 < x < H + 30) = P(H +0

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A quick approximation is sometimes useful when an exact answer is not required.
(a) Given any normally distributed random variable, x, with mean, μ, and standard deviation, a, use the Empirical Rule to estimate the following probabilities. (Hint: Don't forget that probabilities should
be reported as numbers between 0 and 1.)
P(x 2 μl +30) =
P(x2 μ-20) =
P(μ-0 < x≤μ +30) =
P(μ-20 < x < H + 30) =
P(H +0<x<H+ 30) =
(b) Given that x has a normal probability density function with = 5.5 and = 8.371, use the Empirical Rule to estimate the following probability.
P(-11.242 < x≤ 13.871) =
(c) Use the normal probability density function to calculate the probability in part (b). (Round your answer to four decimal places.)
Transcribed Image Text:A quick approximation is sometimes useful when an exact answer is not required. (a) Given any normally distributed random variable, x, with mean, μ, and standard deviation, a, use the Empirical Rule to estimate the following probabilities. (Hint: Don't forget that probabilities should be reported as numbers between 0 and 1.) P(x 2 μl +30) = P(x2 μ-20) = P(μ-0 < x≤μ +30) = P(μ-20 < x < H + 30) = P(H +0<x<H+ 30) = (b) Given that x has a normal probability density function with = 5.5 and = 8.371, use the Empirical Rule to estimate the following probability. P(-11.242 < x≤ 13.871) = (c) Use the normal probability density function to calculate the probability in part (b). (Round your answer to four decimal places.)
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