salutemeimchloe
12.02.2020 •
Mathematics
Changing the mean and standard deviation of a Normal distribution by a moderate amount can greatly change the percent of observations in the tails. Suppose that a college is looking for applicants with SAT math scores 750 and above.
a. In 2015, the scores of men on the math SAT followed the N ( 527 , 124 ) distribution. What percent of men scored 750 or better?
a. 96.41 %
b. 1.36 %
c. 0.96 %
d. 1.80 %
e. 3.51 %
f. 3.59 %
b. Women's SAT math scores that year had the N ( 496 , 115 ) distribution. What percent of women scored 750 or better?
a. 0.99 %
b. 1.50 %
c. 2.21 %
d. 1.36 %
e. 1.09 %
f. 1.45 %
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Ответ:
a)
f. 3.59 %
b)
d. 1.36 %
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".
Part a
Let X the random variable that represent the scores of men of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and with the normal standard distribution table or excel:
So then the correct answer for this case would be:
f. 3.59 %
Part b
Let X the random variable that represent the scores of women's of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and with the normal standard distribution table or excel:
So then the correct answer for this case would be:
d. 1.36 %
Ответ: