small fixes

header.tex

@@ -269,7 +269,7 @@
 %   Write a function that computes the median.
 % \end{exercise}
 %
-% result:
+% result in a nicely colored box with the content:
 %
 % Exercise 1:
 % Write a function that computes the median.
@@ -288,7 +288,6 @@
 \newcommand{\codepath}{}
 \DeclareFloatingEnvironment[
   fileext=loe,
-  %listname={\tr{Exercises}{\"Ubungen}},
   name={\tr{Exercise}{\"Ubung}},
   placement=t,
   chapterlistsgaps=on,
@@ -334,7 +333,7 @@
 %
 % \begin{ibox}[tp]{Python}
 %   The cooler programming language.
-% \end{exercise}
+% \end{ibox}
 %
 % results in a nicely colored float:
 %

likelihood/lecture/likelihood.tex

@@ -1,4 +1,3 @@
-
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \chapter{\tr{Maximum likelihood estimation}{Maximum-Likelihood-Sch\"atzer}}
@@ -286,7 +285,7 @@ out of \eqnref{mleslope} and we get
 To see what this expression is, we need to standardize the data. We
 make the data mean free and normalize them to their standard
 deviation, i.e. $x \mapsto (x - \bar x)/\sigma_x$. The resulting
-numbers are also called \enterm{$z$-values} or $z$-scores and they
+numbers are also called \enterm[z-values]{$z$-values} or $z$-scores and they
 have the property $\bar x = 0$ and $\sigma_x = 1$. $z$-scores are
 often used in Biology to make quantities that differ in their units
 comparable. For standardized data the variance