I need help with #1-4 questions. thank you 1) Human Resources Department of one
ID: 3074295 • Letter: I
Question
I need help with #1-4 questions. thank you
1) Human Resources Department of one hotel reports that annual salries for its personnel have a mean of $40,000 and a standard deviation of $3500. If the salaries are symmetrically distributed, the interval of salaries representing two standard deviations on either side of the mean is
2) what proportion of the salaries is within $3500 of the mean?
3)what proportion of the salary is below $33000?
4)if the salaries are not symmetrical about the mean which proportion of the salariesare 5/2 standard deviation of the mean?
Explanation / Answer
1) Human Resources Department of one hotel reports that annual salaries for its personnel have a mean of $40,000 and a standard deviation of $3500. If the salaries are symmetrically distributed, the interval of salaries representing two standard deviations on either side of the mean is
Answer:
We are given
Mean = $40,000
SD = $3500
Mean – 2*SD = 40000 – 2*3500 = 40000 – 7000 = 33000
Mean + 2*SD = 40000 + 2*3500 = 40000 + 7000 = 47000
If the salaries are symmetrically distributed, the interval of salaries representing two standard deviations on either side of the mean is ($33,000, $47,000).
2) What proportion of the salaries is within $3500 of the mean?
We are given
Mean = $40,000
SD = $3500
Here, we have to find
P(40000 – 3500 < X < 40000 + 3500) = P(40000 – 1*3500 < X < 40000 + 1*3500) = P(36500 < X < 43500)
P(Mean – 1*SD < X < mean + 1*SD) = P(36500 < X < 43500)
We know that about 68% of the data falls within the one standard deviation from the mean. (Using empirical rule)
So, P(36500 < X < 43500) = 68% = 0.68
About 68% of the salaries is within $3500 of the mean.
3) What proportion of the salary is below $33000?
Here, we have to find P(X<33000)
Z = (X – mean) / SD
Z = (33000 – 40000) / 3500 = -7000/3500 = -2
P(Z<-2) = P(X<33000) = 0.02275 = 2.28% (by using z-table or excel)
About 2.28% of the salaries are below $33000.
4) If the salaries are not symmetrical about the mean which proportion of the salaries are 5/2 standard deviation of the mean?
Here we have to use Chebyshev’s theorem for finding the required proportion. We can use this theorem when data is not symmetrical about the mean. According to Chebyshev’s theorem,
Required proportion = (1 – (1/k^2)) where k>1
Here, we are given k = 5/2 = 2.5
Required proportion = (1 – (1/2.5^2))
Required proportion = (1 – (1/6.25))
Required proportion = (1 – 0.16)
Required proportion = 0.84
About 84% of the salaries are 5/2 standard deviation of the mean.
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