The lengths of pregnancies are normally distributed with a mean of 266 days and a standard deviation of 15 days.
That is,
Consider X be the length of the pregnancy
Mean and standard deviation of the length of the pregnancy.
Mean [tex] \mu =266\\ [/tex]
Standard deviation \sigma =15
For part (a) , to find the probability of a pregnancy lasting 308 days or longer:
That is, to find [tex] P(X\geq 308) [/tex]
Using normal distribution,
[tex] z=\frac{X-\mu}{\sigma} [/tex]
[tex] z=\frac{308-266}{15} [/tex]
[tex] =\frac{42}{15} [/tex]
Thus [tex] z=2.8 [/tex]
So [tex] P\left (X\geq 308 \right )=1-P(X<308) [/tex]
[tex] =1-P(z<2.8) [/tex]
[tex] =1-Table\: value\: of\: 2.8 [/tex]
[tex] =1-0.99744 [/tex]
[tex] =0.00256 [/tex]
Thus the probability of a pregnancy lasting 308 days or longer is given by 0.00256.
This the answer for part(a): 0.00256
For part(b), to find the length that separates premature babies from those who are not premature.
Given that the length of pregnancy is in the lowest 3%.
The z-value for the lowest of 3% is -1.8808
Then [tex] X=\frac{X-\mu}{\sigma}\Rightarrow X=z*\sigma+\mu [/tex]
This implies [tex] X=-1.8808*15+266=237.788 [/tex]
Thus the babies who are born on or before 238 days are considered to be premature.