Salaries for teachers in a particular elementary school district are normally distributed with a mean of $41,000 and a standard deviation of $7,200. We randomly survey ten teachers from that district. (Round your answers to the nearest dollar.)
(a) Find the 90th percentile for an individual teacher's salary.
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(b) Find the 90th percentile for the average teacher's salary.
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Respuesta :

Using the normal distribution and the central limit theorem, it is found that:

a) The 90th percentile for an individual teacher's salary is $50,216.

b) The 90th percentile for the average teacher's salary is $43,914.

In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation given by [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

In this problem:

  • Mean of $41,000, thus [tex]\mu = 41000[/tex].
  • Standard deviation of $7,200, thus [tex]\sigma = 7200[/tex].

Item a:

The 90th percentile is X when Z has a p-value of 0.9, so X when Z = 1.28. Thus:

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

[tex]1.28 = \frac{X - 41000}{7200}[/tex]

[tex]X - 41000 = 1.28(7200)[/tex]

[tex]X = 50216[/tex]

The 90th percentile for an individual teacher's salary is $50,216.

Item b:

Average for a sample of 10, thus [tex]n = 10, s = \frac{7200}{\sqrt{10}}[/tex].

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

By the Central Limit Theorem

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

[tex]1.28 = \frac{X - 41000}{\frac{7200}{\sqrt{10}}}[/tex]

[tex]X - 41000 = 1.28\frac{7200}{\sqrt{10}}[/tex]

[tex]X = 43914[/tex]

The 90th percentile for the average teacher's salary is $43,914.

A similar problem is given at https://brainly.com/question/24663213

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