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@wio
You know what the moment of a distribution is?
Okay i know that, first moment=1,Second=2.3,3rd=4.5
Here B1=(Moment 3)^2/(Moment 2)^2
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But i am not sure what moment about 10 means :/
@wio Um,Not sure :/
Ahh, I figured it out.
The \(m\)th moment about a point \(c\) is going to be \[\Large E[(X-c)^m] =\frac{1}{n}\sum_i^n (x_i-c)^m \]
Basically you got to use algebra.
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We know \(c = 10\) and \(n=40\)
The variance is the second moment about the mean.
The mean is the first moment about 0
Do you know what \(\beta\) is?
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