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The mean annual starting salary for Polytechnic graduates in 2019 was $36,280. Assume that the distribution of starting salaries follows the normal distribution with a standard deviation of $3,300. What percent of the graduates have starting salaries: a) Between $35,000 and $40,000? b) More than $45,000? c) Between $40,000 and $45,000?

Question

The mean annual starting salary for Polytechnic graduates in 2019 was 36,280.Assumethatthedistributionofstartingsalariesfollowsthenormaldistributionwithastandarddeviationof36,280. Assume that the distribution of starting salaries follows the normal distribution with a standard deviation of 3,300. What percent of the graduates have starting salaries: a) Between 35,000and35,000 and 40,000? b) More than 45,000?c)Between45,000? c) Between 40,000 and $45,000?

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Solution

To answer these questions, we need to convert the salary amounts to z-scores, which measure how many standard deviations an element is from the mean. The formula for calculating a z-score is:

Z = (X - μ) / σ

where:

  • X is the value of the element
  • μ is the mean
  • σ is the standard deviation

a) Between 35,000and35,000 and 40,000?

First, calculate the z-scores for 35,000and35,000 and 40,000.

Z(35000) = (35000 - 36280) / 3300 = -0.39 Z(40000) = (40000 - 36280) / 3300 = 1.13

Next, look up these z-scores in a standard normal distribution table or use a calculator that can calculate the area under the standard normal curve. The values are approximately 0.6520 and 0.8708 respectively.

The percentage of graduates with salaries between 35,000and35,000 and 40,000 is the area between these two z-scores, which is 0.8708 - 0.6520 = 0.2188, or 21.88%.

b) More than $45,000?

Calculate the z-score for $45,000.

Z(45000) = (45000 - 36280) / 3300 = 2.49

The value from the standard normal distribution table is approximately 0.9936. However, because we want the percentage of graduates with salaries more than $45,000, we need to subtract this value from 1 (the total area under the curve).

So, the percentage of graduates with salaries more than $45,000 is 1 - 0.9936 = 0.0064, or 0.64%.

c) Between 40,000and40,000 and 45,000?

We already have the z-scores for 40,000and40,000 and 45,000 from parts a) and b).

The percentage of graduates with salaries between 40,000and40,000 and 45,000 is the area between these two z-scores, which is 0.9936 - 0.8708 = 0.1228, or 12.28%.

This problem has been solved

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