the sick-leave time of employees in a firm in a month is normally distributed with a mean of 100 hours and a standard deviation of 20 hours.

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The probability of having six leave time for next month falling between 50 and 80 hours is 0.152

Standard deviation, σ = 20 hours

Mean, μ = 100 hours

The probability that sick leave time for next month will be between 50 and 80 hours can be expressed thus :

Recall :

Zscore = (x - μ) / σ

P(50 ≤ X ≤ 80) = P(Z < (80 - 100)/20)) - P(Z < (50 - 100)/20))

P(50 ≤ X ≤ 80) = P(Z < - 1) - P(Z < - 2.5)

Using the normal distribution table :

P(Z < - 1) = 0.15866

P(Z < - 2.5) = 0.0062097

Hence,

P(-1 ≤ Z ≤ - 2.5) = P(Z < - 1) - P(Z < - 2.5) = 0.15866 - 0.0062097 = 0.1524

Therefore, the probability of having sick leave time between 50 and 80 hours next month is 0.152

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