The correct option is: a female who weighs 1500 g
Explanation
Formula for finding the z-score is: [tex]z= \frac{X-\mu}{\sigma}[/tex]
Newborn males have weights with a mean[tex](\mu)[/tex] of 3272.8 g and a standard deviation[tex](\sigma)[/tex] of 660.2 g.
So, the z-score for the newborn male who weighs 1500 g will be.......
[tex]z(X=1500)=\frac{1500-3272.8}{660.2}=-2.685... \approx -2.69[/tex]
According to the normal distribution table, [tex]P(z=-2.69)=0.0036 = 0.36\%[/tex]
Now, newborn females have weights with a mean[tex](\mu)[/tex] of 3037.1 g and a standard deviation[tex](\sigma)[/tex] of 706.3 g.
So, the z-score for the newborn female who weighs 1500 g will be.......
[tex]z(X=1500)=\frac{1500-3037.1}{706.3}=-2.176... \approx -2.18[/tex]
According to the normal distribution table, [tex]P(z=-2.18)=0.0146 = 1.46\%[/tex]
As we can see that the probability that a newborn female has weight of 1500 g is greater than newborn male, so a newborn female has the weight of 1500 g that is more extreme relative to the group from which he came.