Respuesta :
given that the mean is 100, and standard deviation is 15, the z-score of 80 will be:
z-score=(80-100)/15=-1.33333
the z-score of 120 will be:
z-score=(120-100)/15=1.3333
The probabilities associated with the z-score will be:
P(-1.33333)=0.0918
also
P(1.3333)=0.9082
therefore the proportion of adults with scores between 80 and 120 is:
0.9082-0.0918
=0.8164
=8.164%
=0.082
z-score=(80-100)/15=-1.33333
the z-score of 120 will be:
z-score=(120-100)/15=1.3333
The probabilities associated with the z-score will be:
P(-1.33333)=0.0918
also
P(1.3333)=0.9082
therefore the proportion of adults with scores between 80 and 120 is:
0.9082-0.0918
=0.8164
=8.164%
=0.082
Answer: The proportion adults with scores between 80 and 120 is closest to 0.8176 or 81.76%.
We follow these steps in order to find the answer:
We first need to the Z scores for X = 80 and X =120
We calculate the Z scores as :
[tex]Z = \frac{x - \mu }{\sigma}[/tex]
Substituting we get,
[tex]Z_{1} = \frac{80 - 100 }{15} = -1.33333[/tex]
and
[tex]Z_{2} = \frac{120 - 100 }{15} = 1.33333[/tex]
The area to the left of Z₁ is 0.09121122 , while the area to the left of Z₂ is 0.90878878
So, we need to find the area between Z₂ and Z₁ in order to arrive at the proportion between adults with scores 80 and 120.
[tex]\mathbf{Z_{2} - Z{1}= 0.90878878-0.09121122 = 0.817577561}[/tex]