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MyLê This Question: 1 pt Stude 2 of 12 (1 complete) This Quiz: 12 pts possible о му с Question Help Cours The lengths of a pa
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Answer #1

Let X be the lengths of a particular animal's pregnancies.

X ~ N(\small \mu = 270, \small \sigma = 8)

Note that,

\small \frac{X-\mu}{\sigma}\sim N(0,1) \\ Let \ Z=\frac{X-\mu}{\sigma} \\ i.e. \ P(Z\le z)=\Phi(z) \ and \ \Phi(-z)=1-\Phi(z)

(a) We have to find P(X>276)

PX > 276) = 1- P(X < 276)

                       \small =1-P(\frac{X-\mu}{\sigma}\le \frac{276-270}{8})

                        \small =1-P(Z\le 0.75)=1-\Phi(0.75)

                                                            \small =1-0.7764=0.2236

The proportion of pregnancies that last more than 276 days is 0.2236 or 22.36%       (Answer)

(b) We have to find,

\small P(268\le X\le 274)=P(X\le 274)-P(X\le 268)

                                   \small =P(\frac{X-\mu}{\sigma}\le \frac{274-270}{8})-P(\frac{X-\mu}{\sigma}\le \frac{268-270}{8})

                                   \small =P(Z\le 0.5)-P(Z\le -0.25)

                                    \small =\Phi(0.5)-\Phi(-0.25)=\Phi(0.5)-1+\Phi(0.25)

                                                                           \small =0.6915-1+0.5987=0.2904

The proportion of pregnancies that last between 268 and 274 days is 0.2904 or 29.04%       (Answer)

(c) We have to find,

\small P(X\le 258)=P(\frac{X-\mu}{\sigma}\le \frac{258-270}{8})

                        \small =P(Z\le -1.5)=\Phi(-1.5)=1-\Phi(1.5)

                                                                          \small =1-0.9332=0.0668

The probability that a randomly selected pregnancy lasts no more than 258 days is 0.0668 or 6.68%       (Answer)

(d) Probability of a very preterm baby is -

\small P(X<252)=P(\frac{X-\mu}{\sigma}<\frac{252-270}{8})

                        \small =P(Z< -2.25)=\Phi(-2.25)=1-\Phi(2.25)

                                                                               \small =1-0.9878=0.0122

The probability of a "very preterm" baby is 0.0122. This event would be unusual because the probability is less than 0.05.                  (Answer)

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