Suppose that iq scores within a population are normally distributed with mean 100 and standard deviation 10. if we pick a person at random from this population, what it the probability that he or she has an iq score
(a) above 130?
(b) below 110?
(c) between 90 and 120?

a) Probability is 0.001

b) Below 110 is 0.84

c) Between 90 and 120 is 0.818

Step-by-step explanation:

We can calculate this using the cumulative normal distribution , by first standarizing our random variable X defined as IQ Scores  to a Z standard normal variable ( mean 1 - std 0 ) for the specific value we need :

a)

Z=X-mean/std = 130-100/10 =3.00

Then we can calculate:

P(X>130) = P(Z>3) = 1- P(Z<3) due to rules of probability.

This probability can be calculated with the function Norm.Distr(130,100,10,True) in  Excel or using the Z table looking for the value of Z = 3 in the rows and the value of the hundredths in Z in this case 0.00. If we do it in  excel we get:

1-P(Z<3)=1-0.9986=0.0013

b) We execute the same procedure as above now for 110

Z=110-100/10=1

P(X<110)=P(Z<1)=0.84

c) In this case the interval can be calculated as the area between the large an the low values.

Z1=120-100/10 = 2

Z2 =90-100/10= -1

P(90<X<120) = P(X<120)-P(X<90)=P(Z1<2)-P(Z2<-1)=0.977-0.158=0.818

add an !

step-by-step explanation:

option a is correct.

step-by-step explanation:

scale factor: it is used to find proportional measurements.

proportions means having the same ratio.

scale factor is the ratio of the model measurement to the actual measurement in a simplest form.

or we can say that the ratio of any two corresponding lengths in two similar geometric figures

if the scale factor is more than 1, then it is an enlargement,

if the scale factor less than 1, then it is a reduction.

given the two geometric figure:

by definition of proportions, we have