diff --git a/ausarbeitung_laborversuch.ipynb b/ausarbeitung_laborversuch.ipynb
index 9d9f45a07c62c8dcf2ff67f65ecd04f72e57760a..ff80e40d380e8e22e787e13c2f1109c2fec12b2b 100644
--- a/ausarbeitung_laborversuch.ipynb
+++ b/ausarbeitung_laborversuch.ipynb
@@ -34,7 +34,7 @@
     "\n",
     "Zuerst wird Wasser in den Kochtopf eingefüllt und mittels eines Sous-Vide-Garers auf eine konstante Temperatur von 80°C erwärmt. Als nächstes wird das kleinere Gefäß mit 400ml Wasser gefüllt und ein Magnet hineingelegt. Mittels diesem Magnetrührer wird sichergestellt, dass sich die Temperatur im gesamten Wasser gleichmäßig verteilt. Zu den beiden Behältern werden vier Sensoren eingelegt und ein Sensor ist an dem Rahmen der Konstruktion montiert, um die Umgebungstemperatur zu messen. Es werden drei Sensoren in das kleinere Gefäß und ein Sensor in den Kochtopf getan.\n",
     "\n",
-    "Um nun den Versuch durchzuführen werden drei unterschiedliche zylinderartige Proben aus anderen Materialien in das 80°C-warme Wasser des Kochtopfes gelegt. Nachdem sich die Proben erwärmt haben, werden sie für den jeweiligen Versuch herausgenommen. Es muss hierbei beachtet werden, dass so wenig warmes Wasser in das Gefäß mit kaltem Wasser übernommen werden darf, um die Versuchsergebnisse nicht zu verfäls"
+    "Um nun den Versuch durchzuführen werden drei unterschiedliche zylinderartige Proben aus anderen Materialien in das 80°C-warme Wasser des Kochtopfes gelegt. Nachdem sich die Proben erwärmt haben, werden sie für den jeweiligen Versuch herausgenommen. Es muss hierbei beachtet werden, dass so wenig warmes Wasser in das Gefäß mit kaltem Wasser übernommen werden darf, um die Versuchsergebnisse nicht zu verfälschen. Wurde die Probe in das Gefäß mit kaltem Wasser getan, wird die Wassertemperatur gemessen, um mögöiche Temperaturänderungen festzustellen."
    ]
   },
   {
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 287,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 288,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 289,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 290,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 291,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,9 +172,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 292,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "findfont: Font family ['Verdana'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
     {
      "data": {
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AAACAbQSLAAAAAAAAAGwjWAQAAAAAAABgG8EiAAAAAAAAANsIFgEAAAAAAADYRrAIAAAAAAAAwDaCRQAAAAAAAAC2ESwCAAAAAAAAsI1gEQAAAAAAAIBtBIsAAAAAAAAAbCNYBAAAAAAAAGAbwSIAAAAAAAAA2/4/qvSzlOgZ13kAAAAASUVORK5CYII=\n",
@@ -209,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 293,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -225,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 294,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +261,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 295,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -279,7 +286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 296,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -299,7 +306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 297,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -308,7 +315,7 @@
        "1914.8108108108108"
       ]
      },
-     "execution_count": 297,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -333,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 298,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -346,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 299,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -361,7 +368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 300,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -386,7 +393,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 301,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +417,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 302,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -447,7 +454,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 303,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -468,7 +475,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 304,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -483,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 305,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -509,7 +516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 306,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -529,7 +536,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 307,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -538,7 +545,7 @@
        "0.5237928132506164"
       ]
      },
-     "execution_count": 307,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -563,7 +570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 308,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -576,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 309,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -591,7 +598,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 310,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -615,7 +622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 311,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -624,7 +631,7 @@
        "2"
       ]
      },
-     "execution_count": 311,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -650,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 312,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -659,7 +666,7 @@
        "37"
       ]
      },
-     "execution_count": 312,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -696,7 +703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 313,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -716,7 +723,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 314,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -731,7 +738,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 315,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -753,7 +760,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 316,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -773,7 +780,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 317,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -782,7 +789,7 @@
        "0.4074091986264932"
       ]
      },
-     "execution_count": 317,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -807,7 +814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 318,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -820,7 +827,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 319,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -835,7 +842,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 320,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -859,7 +866,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 321,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -883,7 +890,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 322,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -918,7 +925,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 323,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -938,7 +945,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 324,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -953,7 +960,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 325,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -975,7 +982,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 326,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -995,7 +1002,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 327,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -1004,7 +1011,7 @@
        "2.682442099203377"
       ]
      },
-     "execution_count": 327,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1021,6 +1028,7 @@
     "Analysieren Sie Ihre Ergebnisse aus wissenschaflticher Sicht. Berücksichtigen Sie dabei Ihre oben genannte Forschungsfrage. Wie wirkt sich die mit der Probe aus dem Heißwasserbad transportierte Wassermenge auf das Ergebnis aus? Welche weiteren Fehlerquellen gibt es?\n",
     "\n",
     "In Zusammenfassung ergeben sich die folgenden Resultate:\n",
+    "\n",
     "$$\n",
     "c_{Edelstahl} = 0.5237928 \\frac{kJ}{kg \\cdot K} \n",
     "$$\n",
@@ -1034,6 +1042,7 @@
     "$$\n",
     "\n",
     "Aus unterschiedlichen Recherchen ergeben folgende Werte für die Wärmekapazitäten der Proben:\n",
+    "\n",
     "$$\n",
     "c_{Edelstahl} = 0.49 \\frac{kJ}{kg \\cdot K} \n",
     "$$\n",