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show that x(bar ) is a sufficient estimator of the population mean of normal population with known population variance .
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@Valpey ps help
@Zarkon pls help
factorization theorem.
what do we factorize ,the mgf or the main function?
the joint distribution of \(X_1,X_2,\ldots,X_n\) where the \(X_i\) are independent normal(\(\mu,\sigma^2\)) random variables
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does it mean that i must find the maximum likelihood function for normal first?
the joint distribution is just the product of the individual distributions since you have independence. (the likelihood function)
do you mean the product of MGF?
i realy don't understand this question can u pls show me atleast 3 steps
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