An elevator in the hospital has a weight limit of 1650 pounds. Suppose an average weight of
the people who use this elevator is 140 pounds with a standard deviation of 25 pounds.
Assuming that the distribution of weights is approximately normal and a random sample of
11 people are selected, what is the probability that the random sample will exceed the weight
limit?
The formula we are given is z=x̄-μ/(σ/√n)
Solution:
Let "X" be the random variable.
Given, "\\mu=140 ; \\sigma=25"
And an average weight for a sample of 11 would cause the total weight to exceed the 1650 pounds weight limit.
"{\\overline{x}}=\\frac{1650}{11}=150"
We need to find "P(X>150)".
Now, "z=\\frac{{\\overline{x}}-\\mu}{\\sigma}=\\frac{150-140}{25}=0.4"
"P(Z>z)=P(Z>0.4)=0.3445 \\approx 0.35"
Thus, required probability is 0.35.
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