Suppose that Y1,Y2,�,Yn is a random sample from a normal distribution.pdf
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This document discusses two unbiased estimators, S^2 and T^2, for estimating the variance of a normal distribution based on a random sample. S^2 is the sample variance and calculates the mean squared deviation of observations from the sample mean. T^2 is based on the squared difference between the first and second observations. The document asks to find the relative efficiency of S^2 compared to T^2.
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