Answer:
[tex]P(X>37)=P(\frac{X-\mu}{\sigma}>\frac{37-\mu}{\sigma})=P(Z>\frac{37-39.7}{2.3})=P(z>-1.173)[/tex]
And we can find this probability we can use this formula:
[tex]P(z>-1.173)=1-P(z<-1.173)[/tex]
And using the normal standard distribution table or excel and we got:
[tex]P(z>-1.173)=1-P(z<-1.173)=1-0.1204=0.8796[/tex]
Step-by-step explanation:
Let X the random variable that represent the time so complete the 50 m of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(39.7,2.3)[/tex]
Where [tex]\mu=39.7[/tex] and [tex]\sigma=2.3[/tex]
We are interested on this probability
[tex]P(X>37)[/tex]
We can use the z score formula given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
If we apply this formula to our probability we got this:
[tex]P(X>37)=P(\frac{X-\mu}{\sigma}>\frac{37-\mu}{\sigma})=P(Z>\frac{37-39.7}{2.3})=P(z>-1.173)[/tex]
And we can find this probability we can use this formula:
[tex]P(z>-1.173)=1-P(z<-1.173)[/tex]
And using the normal standard distribution table or excel and we got:
[tex]P(z>-1.173)=1-P(z<-1.173)=1-0.1204=0.8796[/tex]