Answer:
[tex]P(X>50)=P(\frac{X-\mu}{\sigma}>\frac{50-\mu}{\sigma})=P(Z>\frac{50-44}{5})=P(z>1.2)[/tex]
And we can find this probability using the normal standar distribution and with the complement rule we got:
[tex]P(z>1.2)=1-P(z<1.2) =1-0.8849= 0.1151[/tex]
Step-by-step explanation:
Let X the random variable that represent the number of miles a motorcycle of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(44,5)[/tex]
Where [tex]\mu=44[/tex] and [tex]\sigma=5[/tex]
We are interested on this probability
[tex]P(X>50)[/tex]
And we can use the z score formula given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
And using this formula we got:
[tex]P(X>50)=P(\frac{X-\mu}{\sigma}>\frac{50-\mu}{\sigma})=P(Z>\frac{50-44}{5})=P(z>1.2)[/tex]
And we can find this probability using the normal standar distribution and with the complement rule we got:
[tex]P(z>1.2)=1-P(z<1.2) =1-0.8849= 0.1151[/tex]