Variance of normally distributed RV

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SUMMARY

The discussion focuses on calculating the probability that a nurse can complete 96 journal orders within an eight-hour workday, allowing for a maximum of 15 minutes of overtime. The time taken to look up each journal is uniformly distributed between three and seven minutes, leading to an expected time of 5 minutes per journal and a variance of 4/3. The final probability calculation involves determining P(Y < 495) using the normal distribution, where Y represents the total time for 96 journals, resulting in a standard deviation of approximately 11.1 minutes.

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Homework Statement



The time it takes for a nurse to look up a patient journal is uniformly distributed between three and seven minutes. One morning there's 96 journal orders for the nurse to take care of.

Calculate the probability that she will get them all done during an eight hour work day, with no more than 15 minutes overtime. Assume normal distribution.

Homework Equations



Let X = number of minutes to look up one journal

The Attempt at a Solution



First, the probability function f(x) = 0.25 for 3 < x < 7

E(X) = int(0.25x dx) = 5

V(X) = E((X-5)^2) =

\int 1/4(x-5)^2 dx = 1/12(x-5)^3 _{(3 to 7)} = 4/3

σx = 2/√3

Let Y = 96X.

E(Y) = 96E(X) = 480

This is where I'm not sure:

σy = 96σx = 111

Y = N(480,111)

P(Y < 8*60+15) = P(Y < 495)

We are 15/111 = 0.136 standard deviations above expectation.

P(Y < 495) = P(Z < 0.136) = roughly 0.55

The answer says P(Y < 495) = P(Z < 1.36) so I'm probably missing something dumb? Re-done my calcs four times now :(
 
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Oh... σy = sqrt(96)σx

Nevermind then.
 

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