Answer:
Since the z score for the male is z = -2.08 and the z score for the female is z = -2.62, the female has the weight that is more extreme.
Step-by-step explanation:
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
Whoever's z-score has the higher absolute value has the weight that is more extreme relative to the group.
Male who weighs 1700 g
Based on sample data, newborn males have weights with a mean of 3206.5 g and a standard deviation of 724.6 g.
This means that [tex]\mu = 3206.5, \sigma = 724.6[/tex]
So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{1700 - 3206.5}{724.6}[/tex]
[tex]Z = -2.08[/tex]
The absolute value of the zscore is 2.08
Female who weighs 1700 g
Newborn females have weights with a mean of 3024.5 g and a standard deviation of 505.3 g.
This means that [tex]\mu = 3024.5, \sigma = 505.3[/tex]
So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{1700 - 3024.5}{505.3}[/tex]
[tex]Z = -2.62[/tex]
The absolute value of the zscore is 2.62.
So the female has the more extreme weight.
Since the z score for the male is z = -2.08 and the z score for the female is z = -2.62, the female has the weight that is more extreme.