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lectures/prob_dist.md

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@@ -204,7 +204,7 @@ Here $\theta \in [0,1]$ is a parameter.
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The interpretation of $p(i)$ is: the probability of $i$ successes in $n$ independent trials with success probability $\theta$.
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For example, if $\theta=0.5$, $p(i)$ can be the probability of $i$ heads in $n$ flips of a fair coin.
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For example, if $\theta=0.5$, then $p(i)$ is the probability of $i$ heads in $n$ flips of a fair coin.
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The mean and variance are:
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