Answer:
32-35 Week case
[tex]z = \frac{2025-2500}{800}=-0.594[/tex]
40 week case
[tex]z = \frac{2225-2700}{375}=-1.27[/tex]
For this case since the z score is lower (-1.27<-0.574) for the baby of 40 week this one would be the baby that weighs less relative to the gestation period
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
32-35 Week case
Let X the random variable that represent the weight, and for this case we know the distribution for X is given by:
[tex]X \sim N(2500,800)[/tex]
Where [tex]\mu=2500[/tex] and [tex]\sigma=800[/tex]
The z score given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
And if w replace for the value of x=2025 we got:
[tex]z = \frac{2025-2500}{800}=-0.594[/tex]
40 week case
Let X the random variable that represent the weight, and for this case we know the distribution for X is given by:
[tex]X \sim N(2700,375)[/tex]
Where [tex]\mu=2700[/tex] and [tex]\sigma=375[/tex]
The z score given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
And if w replace for the value of x=2225 we got:
[tex]z = \frac{2225-2700}{375}=-1.27[/tex]
For this case since the z score is lower (-1.27<-0.574) for the baby of 40 week this one would be the baby that weighs less relative to the gestation period