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September 21st, 2009, 05:24 AM
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| | Expected value and covariance I was able to solve other problems relating to expected portfolio returns however I am stuck with solving this simple problem.
The sign on the lift in a building states ‘Maximum capacity 1120kg or 16 persons’. A statistics practitioner wonders what the probability is that 16 people would weigh more than 1120kg. If the weights of the people who use the lift are normally distributed with a mean of 68kg and a standard deviation of 8kg, what is the probability that the statistics practitioner seeks?
[Hint: If you are using the variance equation
[Var(X+Y) = sigma x+y ^2 = sigma x^2 + sigma y^2 + 2sigma xy]
assume the covariance to be zero because people’s weights are independent. and covariance is sigma xy] | 
September 21st, 2009, 05:47 AM
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Originally Posted by crustyv I was able to solve other problems relating to expected portfolio returns however I am stuck with solving this simple problem.
The sign on the lift in a building states ‘Maximum capacity 1120kg or 16 persons’. A statistics practitioner wonders what the probability is that 16 people would weigh more than 1120kg. If the weights of the people who use the lift are normally distributed with a mean of 68kg and a standard deviation of 8kg, what is the probability that the statistics practitioner seeks?
[Hint: If you are using the variance equation
[Var(X+Y) = sigma x+y ^2 = sigma x^2 + sigma y^2 + 2sigma xy]
assume the covariance to be zero because people’s weights are independent. and covariance is sigma xy] | See here: elevator weight question! urgent help !
Thread closed.
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