diff --git a/README.fonts b/README.fonts
index ab7a941..638013d 100644
--- a/README.fonts
+++ b/README.fonts
@@ -1,6 +1,20 @@
 Fonts for matplotlib
 --------------------
 
+Install Humor Sans font
+```
+sudo apt install fonts-humor-sans
+```
+
+Clear matplotlib font cache:
+```
+cd ~/.cache/matplotlib/
+rm -r *
+```
+
+Older problems
+--------------
+
 Make sure the right fonts are installed:
 ```
 sudo apt-get install ttf-lyx2.0 
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diff --git a/pointprocesses/lecture/pointprocessscetchB.pdf b/pointprocesses/lecture/pointprocessscetchB.pdf
index 2055658..1f5548d 100644
Binary files a/pointprocesses/lecture/pointprocessscetchB.pdf and b/pointprocesses/lecture/pointprocessscetchB.pdf differ
diff --git a/statistics/exercises/exercises01.tex b/statistics/exercises/exercises01.tex
index 68455b3..22f1131 100644
--- a/statistics/exercises/exercises01.tex
+++ b/statistics/exercises/exercises01.tex
@@ -15,7 +15,7 @@
 \else
 \newcommand{\stitle}{}
 \fi
-\header{{\bfseries\large Exercise 8\stitle}}{{\bfseries\large Statistics}}{{\bfseries\large December 2nd, 2019}}
+\header{{\bfseries\large Exercise 7\stitle}}{{\bfseries\large Statistics}}{{\bfseries\large December 8th, 2020}}
 \firstpagefooter{Prof. Dr. Jan Benda}{Phone: 29 74573}{Email:
 jan.benda@uni-tuebingen.de}
 \runningfooter{}{\thepage}{}
@@ -97,12 +97,13 @@ jan.benda@uni-tuebingen.de}
 \item Initially test computationally expensive \code{for} loops, vectors,
   matrices, etc. with small numbers of repetitions and/or
   sizes. Once it is working use large repetitions and/or sizes for
-  getting a good statistics.
+  getting a good statistics, i.e. smooth curves.
 \item Use the help functions of \code{matlab} (\code{help command} or
   \code{doc command}) and the internet to figure out how specific
   \code{matlab} functions are used and what features they offer.  In
   addition, the internet offers a lot of material and suggestions for
   any question you have regarding your code !
+\item Work in groups! Nevertheless everybody should write down his/her own solution.
 \item Please upload your solution to the exercises to ILIAS as a zip-archive with the name
   ``statistics\_\{last name\}\_\{first name\}.zip''.
 \end{itemize}
diff --git a/statistics/lecture/diehistograms.py b/statistics/lecture/diehistograms.py
index 2458412..241bde7 100644
--- a/statistics/lecture/diehistograms.py
+++ b/statistics/lecture/diehistograms.py
@@ -15,7 +15,7 @@ ax1.set_xticks(range(1, 7))
 ax1.set_xlabel('x')
 ax1.set_ylim(0, 98)
 ax1.set_ylabel('Frequency')
-fs = fsC
+fs = dict(**fsC)
 fs['color'] = [fsC['facecolor'], fsE['facecolor']]
 del fs['facecolor']
 ax1.hist([x2, x1], bins, **fs)
@@ -26,9 +26,11 @@ ax2.set_xlabel('x')
 ax2.set_ylim(0, 0.23)
 ax2.set_ylabel('Probability')
 ax2.plot([0.2, 6.8], [1.0/6.0, 1.0/6.0], zorder=-10, **lsAm)
-if mpl_major > 1:
-    ax2.hist([x2, x1], bins, density=True, zorder=-5, **fs)
-else:
-    ax2.hist([x2, x1], bins, normed=True, zorder=-5, **fs)
+h1, b1 = np.histogram(x1, bins)
+h2, b2 = np.histogram(x2, bins)
+h1 = h1/np.sum(h1)
+h2 = h2/np.sum(h2)
+ax2.bar(b1[:-1]+0.3, h1, zorder=-5, width=0.4, **fsC)
+ax2.bar(b2[:-1]+0.7, h2, zorder=-5, width=0.4, **fsE)
 fig.subplots_adjust(left=0.125)
 fig.savefig('diehistograms.pdf')