diff --git a/semester4/ps/ps-jh/parts/05_limit-theorems/03_central-limit-theorem.tex b/semester4/ps/ps-jh/parts/05_limit-theorems/03_central-limit-theorem.tex
index 8115e84..2da1d17 100644
--- a/semester4/ps/ps-jh/parts/05_limit-theorems/03_central-limit-theorem.tex
+++ b/semester4/ps/ps-jh/parts/05_limit-theorems/03_central-limit-theorem.tex
@@ -25,4 +25,5 @@ bzw. $\overline{\cX}_n \! \overset{\text{approx}}{\sim} \! \cN \left( \mu, \frac
 \shortremark Für $S_n \sim \text{Bin}(n, p)$ ist $S_n \overset{\text{approx}}{\sim} \cN(np, np(1 - p))$ und
 $\P[a < S_n \leq b] \approx \Phi \left( \frac{b + \frac{1}{2} - np}{\sqrt{np(1 - p)}} \right) - \Phi \left( \frac{a + \frac{1}{2} - np}{\sqrt{np(1 - p)}} \right)$
 
-\shortremark Für $\P[S_n \leq y]$: ZGS verwenden mit $\displaystyle x = \frac{y - n\mu}{\sigma \sqrt{n}}$
+\shortremark Für $\P[S_n \leq y]$: ZGS verwenden mit $\displaystyle x = \frac{y - n\mu}{\sigma \sqrt{n}}$,
+oder $\displaystyle x = \frac{x - n\mu}{\sigma}$ % TODO: When which?
diff --git a/semester4/ps/ps-jh/probability-and-statistics-cheatsheet.pdf b/semester4/ps/ps-jh/probability-and-statistics-cheatsheet.pdf
index a0c2077..f4cb347 100644
Binary files a/semester4/ps/ps-jh/probability-and-statistics-cheatsheet.pdf and b/semester4/ps/ps-jh/probability-and-statistics-cheatsheet.pdf differ