130k views
2 votes
A set of final examinations grades in an introductory statistics course is normally distributed, with a mean of 75 and a standard deviation of 7. Complete parts (a) through (d).

a.) What is the probability that a student scored below 87 on this exam?

b.) What is the probability that a student scored between 68 and 90?

c.) The probability is 25% that a student taking the test scores higher than what grade?

d.) If the professor grades on a curve (For example, the professor could give A

1 Answer

3 votes

Answer:

a)
P(X<87)=P((X-\mu)/(\sigma)<(87-\mu)/(\sigma))=P(Z<(87-75)/(7))=P(Z<1.714)

And we can find this probability using the z table or excel and we got:


P(Z<1.714)=0.957

b)
P(68<X<90)=P((68-\mu)/(\sigma)<(X-\mu)/(\sigma)<(90-\mu)/(\sigma))=P((68-75)/(7)<Z<(90-75)/(7))=P(-1<z<2.143)

And we can find this probability on this way:


P(-1<z<2.143)=P(z<2.143)-P(z<-1)

And in order to find these probabilities we can use the table for the normal standard distribution, excel or a calculator.


P(-1<z<2.143)=P(z<2.143)-P(z<-1)=0.984-0.159=0.825

c)
a=75 + 0.674*7=79.718

So the value of height that separates the bottom 75% of data from the top 25% is 79.718.

d) We can find the percentiles per each case for the original case using the z score first:


z =(81-75)/(7)=0.857

P(Z<0.857) =0.804[/tex]

That represent approximated the 80 percentile

And for the new case:


z =(68-62)/(3)=2

P(Z<2) =0.977[/tex]

That represent approximated the 97 percentile

So is better the second case since we are on a percentile higher respect the other people.

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".

2) Part a

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:


X \sim N(75,7)

Where
\mu=75 and
\sigma=7

We are interested on this probability


P(64.2<X<67.2)

And the best way to solve this problem is using the normal standard distribution and the z score given by:


z=(x-\mu)/(\sigma)

If we apply this formula to our probability we got this:


P(X<87)=P((X-\mu)/(\sigma)<(87-\mu)/(\sigma))=P(Z<(87-75)/(7))=P(Z<1.714)

And we can find this probability using the z table or excel and we got:


P(Z<1.714)=0.957

Part b


P(68<X<90)=P((68-\mu)/(\sigma)<(X-\mu)/(\sigma)<(90-\mu)/(\sigma))=P((68-75)/(7)<Z<(90-75)/(7))=P(-1<z<2.143)

And we can find this probability on this way:


P(-1<z<2.143)=P(z<2.143)-P(z<-1)

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.


P(-1<z<2.143)=P(z<2.143)-P(z<-1)=0.984-0.159=0.825

Part c

For this part we want to find a value a, such that we satisfy this condition:


P(X>a)=0.25 (a)


P(X<a)=0.75 (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.

As we can see on the figure attached the z value that satisfy the condition with 0.75 of the area on the left and 0.25 of the area on the right it's z=0.674. On this case P(Z<0.674)=0.75 and P(z>0.674)=0.25

If we use condition (b) from previous we have this:


P(X<a)=P((X-\mu)/(\sigma)<(a-\mu)/(\sigma))=0.75


P(z<(a-\mu)/(\sigma))=0.75

But we know which value of z satisfy the previous equation so then we can do this:


z=0.674 =<(a-75)/(7)

And if we solve for a we got


a=75 + 0.674*7=79.718

So the value of height that separates the bottom 75% of data from the top 25% is 79.718.

Part d: Assuming this question" If the professor grades on a curve (i.e. gives A's to the top 10% of the class, regardless of the test score), are you better off with a grade of 81 on this exam or a grade of 68 on a different exam, where the mean is 62 and the standard deviation is 3?"

We can find the percentiles per each case for the original case using the z score first:


z =(81-75)/(7)=0.857

P(Z<0.857) =0.804[/tex]

That represent approximated the 80 percentile

And for the new case:


z =(68-62)/(3)=2


P(Z<2) =0.977

That represent approximated the 97 percentile

So is better the second case since we are on a percentile higher respect the other people.

User Wigging
by
8.1k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories