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[PS] joint dist.
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\theorem \textbf{Schwaches Gesetz der grossen Zahlen}\\
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\smalltext{$X_1,X_2,\ldots$ unabh.,$\quad\forall k: \E[X_k] = \mu,\V[X_k]=\sigma^2$}
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$$
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\bar{X}_n = \frac{1}{n}S_n = \frac{1}{n}\sum_{i=1}^{n}X_n
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$$
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Dann konvergiert $\bar{X}_n$ für $n\to\infty$ gegen $\mu$
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$$
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\P\Bigl[ |\bar{X}_n - \mu| < \epsilon \Bigr] \overset{n\to\infty}{\rightarrow} 0
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$$
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