A random sample X1,X2.Xn comes from a population about which you know, essentially, nothing. If n 250, and we assume all of the Xi have finite variances, what can we say about the distribution of the estimator of the sample mean? Since we don't know the sample mean, we use X in place of u in our estimator of the variance S2. In that case, what do we know about the distribution of S2? Why is it important in the manufacture of beer?

MATLAB: An Introduction with Applications
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A random sample X1,X2,.,Xn comes from a population about which you know, essentially, nothing.
If n 250, and we assume all of the Xi have finite variances, what can we say about the distribution of
the estimator of the sample mean? Since we don't know the sample mean, we use X in place of u in
our estimator of the variance S2. In that case, what do we know about the distribution of S2? Why is
it important in the manufacture of beer?
Transcribed Image Text:A random sample X1,X2,.,Xn comes from a population about which you know, essentially, nothing. If n 250, and we assume all of the Xi have finite variances, what can we say about the distribution of the estimator of the sample mean? Since we don't know the sample mean, we use X in place of u in our estimator of the variance S2. In that case, what do we know about the distribution of S2? Why is it important in the manufacture of beer?
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