auto-update(nvim): 2025-02-11 18:47:12
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@ -1085,9 +1085,9 @@ Denote by $X$ the number of type $A$ objects in our sample.
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== Geometric distribution
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Consider an infinite sequence of independent trials. e.g. number of attmepts until I make a basket.
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Consider an infinite sequence of independent trials. e.g. number of attempts until I make a basket.
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Let $X_i$ denote the outcome of the $i^"th"$ trial, where success is 1 and failure is 0. Let $N$ be the number of trials needed to observe the first success in a sequence of independent trials with probabilty of success $p$. Then
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Let $X_i$ denote the outcome of the $i^"th"$ trial, where success is 1 and failure is 0. Let $N$ be the number of trials needed to observe the first success in a sequence of independent trials with probability of success $p$. Then
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We fail $k-1$ times and succeed on the $k^"th"$ try. Then:
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@ -1635,7 +1635,7 @@ Special case: $Gamma(n) = (n - 1)!$ if $n in ZZ^+$.
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== The normal (Gaussian) distribution
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#definition[
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A random variable $ZZ$ has the *standard normal distribution* if $Z$ has
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A random variable $Z$ has the *standard normal distribution* if $Z$ has
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density function
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$
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