Respuesta :
We are given a random variable with a normal distribution and we are asked the following:
Part A.
[tex]P(x<60)[/tex]We need to determine the z-score for this value. To do that we will use the following formula:
[tex]z=\frac{x-\mu}{\sigma}[/tex]Now we substitute the values:
[tex]z=\frac{60-35}{9}[/tex]Solving the operations:
[tex]z=2.78[/tex]Therefore, we have:
[tex]P(x<60)=P(z<2.78)[/tex]From the table of probabilities for normal distribution we get:
[tex]P(z<2.78)=0.9973[/tex]Therefore, the probability that x is less than 60 is 0.9973
Part B. We are asked the following:
[tex]P(x>16)[/tex]We need to determine the z-score for this value. We use the same formula as in part A:
[tex]z=\frac{16-35}{9}[/tex]Solving the operations we get:
[tex]z=-2.11[/tex]Therefore, we have:
[tex]P(x>16)=P(z>-2.11)[/tex]Since the table will give us only the values that are less than -2.11 we need to use the following relationship:
[tex]P(z>-2.11)=1-P(z<-2.11)[/tex]From the table we get:
[tex]P(z<-2.11)=0.0174[/tex]Substituting we get:
[tex]P(z>-2.11)=1-0.0174[/tex]Solving the operations we get:
[tex]P(z>-2.11)=0.9826[/tex]Therefore, the probability that x is greater than 16 is 0.8257
Part C. We are asked the following:
[tex]P(16To determine that, we will use the following formula:[tex]P(16We have already determined the formula for these probabilities in parts A and B. Therefore, we substitute and we get:[tex]P(16Solving the operations we get:[tex]P(16Therefore, the probability that x is between 16 and 60 is 0.9799.Part C. We are asked the following:
[tex]P(x>60)[/tex]We use the same relationship as is part B:
[tex]P(x>60)=1-P(x<60)[/tex]We already determine the probability that x is less than 60 in part A, therefore, we substitute and we get:
[tex]P(x>60)=1-0.9973[/tex]Solving the operations we get:
[tex]P(x>60)=0.0027[/tex]Therefore, the probability that x is more than 60 is 0.027.