diff --git a/30_Thesis/sections/60_evaluation.tex b/30_Thesis/sections/60_evaluation.tex
index 83a66ae..76553e3 100644
--- a/30_Thesis/sections/60_evaluation.tex
+++ b/30_Thesis/sections/60_evaluation.tex
@@ -231,7 +231,7 @@ This section gives an overview over the hypothesis used during data analysis. Fi
     Best average and multiplication are strategies that are performing best in some of the, by \citeauthor{Masthoff2015} \cite[p. 755f]{Masthoff2015}, listed online experiments. Therefore it is reasonable to assume that they perform well here too. Least misery was listed in some studies as performing worst. Therefore there is an expectation of it faring less good than other group aggregation strategies.
 \end{hypothesis}
 
-\section{Findings}
+\section{Results}
 \label{sec:Evaluation:Findings}
 
 \subsection{Threshold Center}
@@ -260,7 +260,7 @@ The predicted trend that a higher $tc$ results in a lower satisfaction and a hig
 
 During a group decision it is better to make one less person dissatisfied opposed to one more person satisfied. Therefore, this thesis uses $tc$ values that are closer to the minima of dissatisfaction change than to the maxima of satisfaction change. The minima for heterogeneous groups is at $tc = 70\%$ therefore this is the chosen value for the evaluation of other aspects. For random groups the minima of dissatisfaction change can be found at $tc = 85\%$ which is the value used for all following analysis of random groups. For homogenous group dissatisfaction change is decreasing until the highest possible value of $tc$ is reached. Because of that $tc = 94\%$ is used for analysis.
 
-\subsection{Analysing Data}
+\subsection{Data Analysis}
 
 This subsection holds fixed parameters of $tc$. In it the satisfaction change and the total amount of satisfied people with the recommenders decision dependent on the amount of stored configurations. For clarity reasons not all graphs of the data are included. The missing graphs can be found in the appendix and have references to them.