Sampling Distribution: Revision history

19 March 2024

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13 March 2024

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12 March 2024

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• curprev 01:3701:37, 12 March 2024‎ Rice talk contribs‎ 3,692 bytes +3,692‎ Created page with "= Sampling distribution = Let there be <math>Y_1, Y_2, \ldots, Y_n </math>, where each <math>Y_i</math> is a randomv variable from the population. Every Y have the same mean and distribution that we don't know. <math> E(Y_i) = \mu, Var(Y_i) = \sigma^2 </math> We then have the sample mean <math> \bar{Y} = \frac{1}{n} \sum_{i = 1}^n Y_i </math> The sample mean is expected to be <math>\mu</math> through a pretty easy direct proof The variance of the sample mean is <ma..."