The distribution of SAT scores is normal with a mean of µ = 500 and a standard deviation of σ = 100. a. What SAT score (i.e., X score) separates the top 15% of the distribution from the rest?b. What SAT score (i.e., X score) separates the top 10% of the distribution from the rest?c. What SAT score (i.e., X score) separates the top 2% of the distribution from the rest?

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Answer:

a) 604

b) 628

c) 705.5

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

[tex]\mu = 500, \sigma = 100[/tex]

a. What SAT score (i.e., X score) separates the top 15% of the distribution from the rest?

This is the value of X when Z has a pvalue of 0.85. So it is X when Z = 1.04.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]1.04 = \frac{X - 500}{100}[/tex]

[tex]X - 500 = 100*1.04[/tex]

[tex]X = 604[/tex]

b. What SAT score (i.e., X score) separates the top 10% of the distribution from the rest?

This is the value of X when Z has a pvalue of 0.90. So it is X when Z = 1.28.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]1.28 = \frac{X - 500}{100}[/tex]

[tex]X - 500 = 100*1.28[/tex]

[tex]X = 628[/tex]

c. What SAT score (i.e., X score) separates the top 2% of the distribution from the rest?

This is the value of X when Z has a pvalue of 0.98.So it is X when Z = 2.055.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]2.055 = \frac{X - 500}{100}[/tex]

[tex]X - 500 = 100*2.055[/tex]

[tex]X = 705.5[/tex]

  • A) the SAT score that separates the top 15% of the distribution from the rest is 510;
  • B) the SAT score that separates the top 10% of the distribution from the rest is 540; and
  • C) the SAT score that separates the top 2% of the distribution from the rest is 588.

Standard deviation

Given that the distribution of SAT scores is normal with a mean of µ = 500 and a standard deviation of σ = 100, to determine A) what SAT score separates the top 15% of the distribution from the rest; B) what SAT score separates the top 10% of the distribution from the rest; and C) what SAT score separates the top 2% of the distribution from the rest, the following calculations must be made:

A)

  • (500 + 100) / 100 x (100 - 15) = X
  • 600 / 100 x 85 = x
  • 6 x 85 = X
  • 510 = X

B)

  • (500 + 100) / 100 x (100 - 10) = X
  • 600 / 100 x 10 = X
  • 6 x 90 = x
  • 540 = X

C)

  • (500 + 100) / 100 x (100 - 2) = X
  • 600 / 100 x 98 = X
  • 6 x 98 = x
  • 588 = X

Therefore, A) the SAT score that separates the top 15% of the distribution from the rest is 510; B) the SAT score that separates the top 10% of the distribution from the rest is 540; and C) the SAT score that separates the top 2% of the distribution from the rest is 588.

Learn more about standard deviation in https://brainly.com/question/12402189