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5.4.1 Question Help A population has a mean = 141 and a standard deviation o = 28. Find the mean and standard deviation of th
5.4.2 Question Help A population has a meanu - 74 and a standard deviation = 8. Find the mean and standard deviation of a sam
5.4.9 Question Help The graph of the waiting time (in seconds) at a red light is shown below on the left with its mean and st
5.4.15 The population mean and standard deviation are given below. Find the required probability and determine whether the gi
5.4.19-T Question Help The heights of fully grown trees of a specific species are normally distributed, with a mean of 58.0 f
5.4.23 Question Help Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling
5.4.29-T Question Help Find the probability and interpret the results. If convenient, use technology to find the probability.
5.4.37-T The lengths of lumber a machine cuts are normally distributed with a mean of 89 inches and a standard deviation of 0
The weights of ice cream cartons are normally distributed with a mean weight of 13 ounces and a standard deviation of 0.6 oun
0 0
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Answer #1

5.4.1:~\mu_{\bar{x}}=141,~\sigma_{\bar{x}}=\frac{28}{\sqrt{40}}=4.427

5.4.2:~\mu_{\bar{x}}=74,~\sigma_{\bar{x}}=\frac{8}{\sqrt{64}}=1

5.4.9:~Option~(b)\\\\ \mu_{\bar{x}}=17.2,~\sigma_{\bar{x}}=\frac{11.1}{\sqrt{225}}=0.74

5.4.15:~ \mu_{\bar{x}}=22,~\sigma_{\bar{x}}=\frac{1.31}{\sqrt{68}}=0.1589.\\\\ P(\bar{X}<22.1)=\Phi((22.1-22)/0.1589)=\Phi(0.63)=0.7357;\\\\ (where,~\Phi(x)=cdf~of~N(0,1)).

5.4.19:~ \mu_{\bar{x}}=58,~\sigma_{\bar{x}}=\frac{6.25}{\sqrt{11}}=1.88.\\\\

5.4.19:~ \mu_{\bar{x}}=120,~\sigma_{\bar{x}}=\frac{39.7}{\sqrt{18}}=9.36.\\\\

5. 4. 29: Required probability=0.0038 (round(pnorm(58500,61000,6000/sqrt(41)),4))

5.4.37:

(a) Required probability=0.3446 (R code: round(1-pnorm(89.24,89,0.6),4))

(b) Required probability=0.0052 (R code: round(1-pnorm(89.24,89,0.6/sqrt(41)),4))

5.4.38:

(a) Required probability=0.3569 (R code: round(1-pnorm(13.22,13,0.6),4))

(b) Required probability=0.0334 (R code: round(1-pnorm(13.22,13,0.6/sqrt(25)),4))

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