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A recent study of the hourly wages of maintenance crew members for major airlines showed that the mean hourly salary was $20.50, with a standard deviation of $3.50. Assume the distribution of hourly wages follows the normal probability dis- tribution. If we select a crew member at random, what is the probability the crew member earns: a. Between $20.50 and $24.00 per hour

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Answer:

0.3413 = 34.13% probability that the crew member earns between $20.50 and $24.00 per hour

Explanation:

Problems of normal distributions can be solved using the z-score formula.

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


Z = (X - \mu)/(\sigma)

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.

A recent study of the hourly wages of maintenance crew members for major airlines showed that the mean hourly salary was $20.50, with a standard deviation of $3.50.

This means that
\mu = 20.5, \sigma = 3.5

a. Between $20.50 and $24.00 per hour

This is the pvalue of Z when X = 24 subtracted by the pvalue of Z when X = 20.5. So

X = 24


Z = (X - \mu)/(\sigma)


Z = (24 - 20.5)/(3.5)


Z = 1


Z = 1 has a pvalue of 0.8413

X = 20.5


Z = (X - \mu)/(\sigma)


Z = (20.5 - 20.5)/(3.5)


Z = 0


Z = 0 has a pvalue of 0.5

0.8413 - 0.5 = 0.3413

0.3413 = 34.13% probability that the crew member earns between $20.50 and $24.00 per hour

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