The distribution of SAT exam scores matches the Normal distr
The distribution of SAT exam scores matches the Normal distribution with a mean =1509 and standard deviation =321.
a. What is the probability that a student scores 1700 or less?
b. What is the probability that a student scores 1900 or more?
c. What is the maximum score for the bottom 20% of SAT scores?
d. What is the minimum score for the top 10% of SAT scores?
Solution
a)
We first get the z score for the critical value. As z = (x - u) / s, then as
x = critical value = 1700
u = mean = 1509
s = standard deviation = 321
Thus,
z = (x - u) / s = 0.595015576
Thus, using a table/technology, the left tailed area of this is
P(z < 0.595015576 ) = 0.72408347 [ANSWER]
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b)
We first get the z score for the critical value. As z = (x - u) / s, then as
x = critical value = 1900
u = mean = 1509
s = standard deviation = 321
Thus,
z = (x - u) / s = 1.218068536
Thus, using a table/technology, the right tailed area of this is
P(z > 1.218068536 ) = 0.111598965 [ANSWER]
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c)
First, we get the z score from the given left tailed area. As
Left tailed area = 0.2
Then, using table or technology,
z = -0.841621234
As x = u + z * s,
where
u = mean = 1509
z = the critical z score = -0.841621234
s = standard deviation = 321
Then
x = critical value = 1238.839584 [ANSWER]
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d)
First, we get the z score from the given left tailed area. As
Left tailed area = 0.9
Then, using table or technology,
z = 1.281551566
As x = u + z * s,
where
u = mean = 1509
z = the critical z score = 1.281551566
s = standard deviation = 321
Then
x = critical value = 1920.378053 [ANSWER]

