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lectures/lln_clt.md
@@ -472,8 +472,8 @@ $F(x) = 1 - e^{- \lambda x}$.
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```{code-cell} ipython3
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# Set parameters
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-n = 250 # Choice of n
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-k = 1_000_000 # Number of draws of Y_n
+n = 50 # Choice of n
+k = 10_000 # Number of draws of Y_n
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distribution = st.expon(2) # Exponential distribution, λ = 1/2
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μ, σ = distribution.mean(), distribution.std()
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@@ -523,8 +523,8 @@ You can choose any $\alpha > 0$ and $\beta > 0$.
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distribution = st.beta(2,2) # We chose Beta(2, 2) as an example
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