Let x(sub i) be a random variable uniformly distributed over the interval from zero to one, X(sub i)~U(0,1). Let the random variable y be related to X(sub i) as follows: Y Sigma (from i=1 to 108) X(sub i)
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OpenStudy (anonymous):
\[\sum_{i=1}^{108}X _{i}\]
OpenStudy (anonymous):
What is the mean of Y? I have 54. it's the right answer
OpenStudy (anonymous):
What is the Variate of Y? i got 972.1666666666666
OpenStudy (anonymous):
Is that right?
OpenStudy (anonymous):
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OpenStudy (anonymous):
ah thank god
OpenStudy (jamesj):
The mean is definitely right. Write down your logic for Var
\[ Var(Y) = E[(Y-E[Y])^2 \]
= ...
OpenStudy (jamesj):
and forget the 108. Write that as n. The particular value is a distraction.
OpenStudy (anonymous):
basically just took the summation of (n-m)^2 / n
OpenStudy (anonymous):
or rather (ni -m)^2 / n
where i is "sub i"
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OpenStudy (anonymous):
\[\sum_{i=1}^{n}((n _{i}-\mu)^2)/2\]
OpenStudy (anonymous):
er /n
OpenStudy (zarkon):
If you are taking a random sample from some distribution with finite variance then
\[Var(Y)=Var\left(\sum_{i=1}^{n}X_i\right)=\sum_{i=1}^{n}Var\left(X_i\right)\]