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widen plot with overlapping labels
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lectures/tools_and_techniques/lln_clt.md

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@@ -507,7 +507,7 @@ for i in 1:size(ys, 2)
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push!(plots, p)
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end
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plot(plots..., legend = false)
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plot(plots..., legend = false, size = (900, 500))
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```
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As expected, the distribution smooths out into a bell curve as $n$ increases.

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