Improved page breaks

bootstrap/lecture/bootstrap-chapter.tex

@@ -5,7 +5,7 @@
 \lstset{inputpath=../code}
 \graphicspath{{figures/}}
 
-\setcounter{page}{81}
+\setcounter{page}{69}
 \setcounter{chapter}{4}
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

bootstrap/lecture/bootstrap.tex

@@ -116,6 +116,7 @@ eine ganze Verteilung von Mittelwerten generieren
 (\figref{bootstrapsemfig}). Die Standardabweichung dieser Verteilung
 ist dann der gesuchte Standardfehler des Mittelwerts.
 
+\pagebreak[4]
 \begin{exercise}{bootstrapsem.m}{bootstrapsem.out}
   Erzeuge die Verteilung der Mittelwerte einer Stichprobe durch Bottstrapping,
   um daraus den Standardfehler des Mittelwerts zu bestimmen.

bootstrap/lecture/bootstrapsem.py

@@ -2,7 +2,7 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 plt.xkcd()
-fig = plt.figure( figsize=(6,4) )
+fig = plt.figure( figsize=(6,3.5) )
 rng = np.random.RandomState(637281)
 
 nsamples = 100

bootstrap/lecture/permutecorrelation.py

@@ -2,7 +2,7 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 plt.xkcd()
-fig = plt.figure( figsize=(6,4) )
+fig = plt.figure( figsize=(6,3.5) )
 rng = np.random.RandomState(637281)
 
 # generate correlated data: