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diff --git a/Lectures_my/MC_2016/Lecture5/mchrzasz.tex b/Lectures_my/MC_2016/Lecture5/mchrzasz.tex
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@@ -345,7 +345,7 @@
 \item For $N$ random numbers we have $N-m+1$ such numbers.
 \item We define the statistics:
 \begin{align*}
-\psi_0^2=0,~~~~~\psi^2_m=\sum_{i=1}^{k^m}\dfrac{\left[n_1 - \left(N-m+1 \right)/k^m\right]^2}{\left(N-m+1\right)k^m},~~~m=1,2,...
+\psi_0^2=0,~~~~~\psi^2_m=\sum_{i=1}^{k^m}\dfrac{\left[n_i - \left(N-m+1 \right)/k^m\right]^2}{\left(N-m+1\right)/k^m},~~~m=1,2,...
 \end{align*}
 \item For large $N$ the $(\psi^2_m-\psi^2_{m-1})$ has a $\chi^2$ distribution with $k^m-k^{m-1}$ degrees of freedom.
 \end{itemize}
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 \begin{itemize}
 \item Generate $R_1,R_2 \in \mathcal{U}(0,1)$ and calculate the $U_1=2R_1-1,~U_2=2R_2-1$
 \item Calculate $W=U_1^2+U_2^2$.
-\item If $W<1$ start over.
+\item If $W>1$ start over.
 \item Calculate the $X=U_1 Z$ and $Y=U_2 Z$, where $Z=\sqrt{\frac{-2 \ln W}{W}}$
 \end{itemize}
 \ARROW E7.2 Generate $N(0,1)$ using \cdf~reverting and Marsaglia \& Bray method.