Scores for a civil service exam are normally distributed with a mean of 75 and a standard deviation of 6.5. To be eligible for civil service employment, you must score in the top 5%. What is the lowest score you can earn and still be eligible for employment?

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Answer:

The lowest score you can earn and still be eligible for employment is 85.6925

Step-by-step explanation:

Problems of normally distributed samples can be 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 question, we have that:

[tex]\mu = 75, \sigma = 6.5[/tex]

Top 5%.

At least the 100-5 = 95th percentile.

The 95th percentile is X when Z has a pvalue of 0.95. So X when Z = 1.645.

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

[tex]1.645 = \frac{X - 75}{6.5}[/tex]

[tex]X - 75 = 1.645*6.5[/tex]

[tex]X = 85.6925[/tex]

The lowest score you can earn and still be eligible for employment is 85.6925

Answer:

The lowest score you can earn and still be eligible for employment is 85.70.

Step-by-step explanation:

We are given that Scores for a civil service exam are normally distributed with a mean of 75 and a standard deviation of 6.5.

Also, to be eligible for civil service employment, you must score in the top 5%.

Let X = Scores for a civil service exam

SO, X ~ N([tex]\mu = 75,\sigma^{2} = 6.5^{2}[/tex])

The z-score probability distribution is given by ;

                  Z = [tex]\frac{X-\mu}{\sigma}[/tex] ~ N(0,1)

where, [tex]\mu[/tex] = mean score = 75

            [tex]\sigma[/tex] = standard deviation = 6.5

Now, the lowest score that we can earn and still be eligible for employment is given by ;

              P(X [tex]\geq[/tex] [tex]x[/tex] ) = 0.05   {where [tex]x[/tex] is minimum score required}

                                               to be in top 5%}

             P( [tex]\frac{X-\mu}{\sigma}[/tex] [tex]\geq \frac{x-75}{6.5}[/tex] ) = 0.05

             P(Z [tex]\geq \frac{x-75}{6.5}[/tex] ) = 0.05

Now, in z table we will find out that critical value of X for which the area is in top 5%, which comes out to be 1.6449.

This means;         [tex]\frac{x-75}{6.5} = 1.6449[/tex]

                          [tex]x-75=1.6449 \times 6.5[/tex]  

                              [tex]x[/tex] = 75 + 10.69185 = 85.70

Therefore, the lowest score that we can earn and still be eligible for employment is 85.70.

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