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Assuming that mens weights are normally distributed with a mean of 172 lb. and a population standard deviation of 29 lb, fin
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Answer #1

a) Normal distribution: P(X < A) = P(Z < (A - \mu )/\sigma)

\mu = 172 lb

\sigma = 29 lb

P(a randomly selected man has a weight greater than 180 lb), P(X > 180) = 1 - P(X < 180)

= 1 - P(Z < (180 - 172)/29)

= 1 - P(Z < 0.28)

= 1 - 0.6103

= 0.3897

b) Sample size, n = 36

For sampling distribution of mean,

P(T < A) = P(Z < (A - \mu_\bar{x} )/\sigma_\bar{x})

\mu_\bar{x} = \mu = 172 lb

\sigma_\bar{x} = 0/vn

= 29/\sqrt{36}

= 4.8333

P(36 randomly selected men have a mean weight of less than 167 lb) = P(T < 167)

= P(Z < (167 - 172)/4.8333)

= P(Z < -1.03)

= 0.1515

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