Answer:
32-35 Week case
![z = \frac{2025-2500}{800}=-0.594](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B2025-2500%7D%7B800%7D%3D-0.594)
40 week case
![z = \frac{2225-2700}{375}=-1.27](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B2225-2700%7D%7B375%7D%3D-1.27)
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:
Where
and
The z score given by:
And if w replace for the value of x=2025 we got:
![z = \frac{2025-2500}{800}=-0.594](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B2025-2500%7D%7B800%7D%3D-0.594)
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:
Where
and
The z score given by:
And if w replace for the value of x=2225 we got:
![z = \frac{2225-2700}{375}=-1.27](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B2225-2700%7D%7B375%7D%3D-1.27)
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