diff --git a/bootstrap/lecture/bootstrap-chapter.tex b/bootstrap/lecture/bootstrap-chapter.tex
index 845b6b1..b61d395 100644
--- a/bootstrap/lecture/bootstrap-chapter.tex
+++ b/bootstrap/lecture/bootstrap-chapter.tex
@@ -17,10 +17,15 @@
 \include{bootstrap}
 
 \section{TODO}
+
 This chapter easily covers two lectures:
 \begin{itemize}
 \item 1. Bootstrapping with a proper introduction of of confidence intervals
-\item 2. Permutation test with a proper introduction of statistical tests (dsitribution of nullhypothesis, significance, power, etc.)
+\item 2. Permutation test with a proper introduction of statistical tests (distribution of nullhypothesis, significance, power, etc.)
 \end{itemize}
 
+Add jacknife methods to bootstrapping
+
+Add permutation test for significant different means of two distributions.
+
 \end{document}
diff --git a/bootstrap/lecture/bootstrap.tex b/bootstrap/lecture/bootstrap.tex
index 667c833..20f01c2 100644
--- a/bootstrap/lecture/bootstrap.tex
+++ b/bootstrap/lecture/bootstrap.tex
@@ -1,8 +1,12 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\chapter{Bootstrap methods}
+\chapter{Resampling methods}
 \label{bootstrapchapter}
-\exercisechapter{Bootstrap methods}
+\exercisechapter{Resampling methods}
+
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\section{Bootstrapping}
 
 Bootstrapping methods are applied to create distributions of
 statistical measures via resampling of a sample. Bootstrapping offers several
@@ -94,7 +98,8 @@ sample. This can be implemented by generating random indices into the
 data set using the \code{randi()} function.
 
 
-\section{Bootstrap of the standard error}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\subsection{Bootstrap of the standard error}
 
 Bootstrapping can be nicely illustrated at the example of the
 \enterm{standard error} of the mean (\determ{Standardfehler}). The
@@ -138,7 +143,9 @@ distribution is the standard error of the mean.
 \end{exercise}
 
 
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \section{Permutation tests}
+
 Statistical tests ask for the probability of a measured value to
 originate from a null hypothesis. Is this probability smaller than the
 desired \entermde{Signifikanz}{significance level}, the
@@ -166,6 +173,12 @@ while we conserve all other statistical properties of the data.
     statistically significant.}
 \end{figure}
 
+%\subsection{Significance of a difference in the mean}
+
+%See \url{https://en.wikipedia.org/wiki/Resampling_(statistics)#Permutation_tests.}
+
+\subsection{Significance of correlations}
+
 A good example for the application of a
 \entermde{Permutationstest}{permutaion test} is the statistical
 assessment of \entermde[correlation]{Korrelation}{correlations}. Given