Respuesta :
Answer:
[tex]P(65<X<100)=P(\frac{65-\mu}{\sigma}<\frac{X-\mu}{\sigma}<\frac{100-\mu}{\sigma})=P(\frac{65-85}{7.1}<Z<\frac{100-85}{7.1})=P(-2.817<z<2.113)[/tex]
And we can find this probability on this way:
[tex]P(-2.817<z<2.113)=P(z<2.113)-P(z<-2.817)[/tex]
And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.
[tex]P(-2.817<z<2.113)=P(z<2.113)-P(z<-2.817)=0.9827-0.0024=0.9803[/tex]
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(85,7.1)[/tex]
Where [tex]\mu=85[/tex] and [tex]\sigma=7.1[/tex]
We are interested on this probability
[tex]P(65<X<100)[/tex]
And the best way to solve this problem is using the normal standard distribution and the z score given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
If we apply this formula to our probability we got this:
[tex]P(65<X<100)=P(\frac{65-\mu}{\sigma}<\frac{X-\mu}{\sigma}<\frac{100-\mu}{\sigma})=P(\frac{65-85}{7.1}<Z<\frac{100-85}{7.1})=P(-2.817<z<2.113)[/tex]
And we can find this probability on this way:
[tex]P(-2.817<z<2.113)=P(z<2.113)-P(z<-2.817)[/tex]
And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.
[tex]P(-2.817<z<2.113)=P(z<2.113)-P(z<-2.817)=0.9827-0.0024=0.9803[/tex]