diff --git a/tutorial_page.Rmd b/tutorial_page.Rmd
index c018cca88dea960c259a578f836cf311f017e559..894284fe565d8c73fade72559b6bca1f3cd9a461 100644
--- a/tutorial_page.Rmd
+++ b/tutorial_page.Rmd
@@ -308,25 +308,33 @@ Versuchen Sie nun den oben gezeigten Plot selbst zu erstellen. Die Farbe und Par
 ```{r lm-plot, exercise=TRUE, exercise.lines=5}
 raters <- gameData$"Users Rated"
 owned <- gameData$"Owned Users"
+cavg <- gameData$"Complexity Average"
 x = lm()
 plot(, , pch = 16, col = "blue")
 
 ```
 
-Mithilfe der Linearen Regression kann man nun die Hypothesen entweder beweisen oder widerlegen.
 \
 
 ### Hypothesentest
 
+R hat Funktionen zum Testen von Hypothesen. Bei den bereits gegebenen Hypothesen eignet sich der [Chi-squared test](https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/chisq.test). Dieser wird mit ```chisq.test()``` aufgerufen und nimmt zwei Wertesets an mit weiteren Parametern fuer genaueres einstellen. Der ausgegebene p-Wert (p-value) kann dann mit dem Signifikanzwert (typischerweise 5% / 0.05) verglichen werden. Ist der Wert groesser als 0.05 kann man annehmen, dass die Hypothese stimmt.
+
+```{r hypothesis-test, exercise=TRUE, exercise.lines=4}
+cavg <- gameData$"Complexity Average"
+owned <- gameData$"Owned Users"
+ptime <- gameData$"Play Time"
+```
+
 ```{r hypothesis-quiz}
 quiz(
-  question("Spiele mit hoeherem Complexity Score haben eine niedrigere Anzahl von Owned Users.",
+  question("Spiele mit hoeherem Complexity Average haben eine niedrigere Anzahl von Owned Users.",
     answer("Wahr", correct = TRUE),
     answer("Falsch")
   ),
-  question("Spiele mit hoeherem Complexity Score haben hoehere Play Time.",
-    answer("Wahr", correct = TRUE),
-    answer("Falsch")
+  question("Spiele mit hoeherem Complexity Average haben hoehere Play Time.",
+    answer("Wahr"),
+    answer("Falsch", correct = TRUE)
   )
 )
 ```
diff --git a/tutorial_page.html b/tutorial_page.html
index d502f53b70be0a3e095d7cb71c0c4dd02bc4f29c..842eb31b724930cb930a905010f54248c78eae05 100644
--- a/tutorial_page.html
+++ b/tutorial_page.html
@@ -526,16 +526,32 @@ data-diagnostics="1" data-startover="1" data-lines="5"
 data-pipe="|&gt;">
 <pre class="text"><code>raters &lt;- gameData$&quot;Users Rated&quot;
 owned &lt;- gameData$&quot;Owned Users&quot;
+cavg &lt;- gameData$&quot;Complexity Average&quot;
 x = lm()
 plot(, , pch = 16, col = &quot;blue&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
-<p>Mithilfe der Linearen Regression kann man nun die Hypothesen entweder
-beweisen oder widerlegen.<br />
+<p><br />
 </p>
 </div>
 <div id="section-hypothesentest" class="section level3">
 <h3>Hypothesentest</h3>
+<p>R hat Funktionen zum Testen von Hypothesen. Bei den bereits gegebenen
+Hypothesen eignet sich der <a
+href="https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/chisq.test">Chi-squared
+test</a>. Dieser wird mit <code>chisq.test()</code> aufgerufen und nimmt
+zwei Wertesets an mit weiteren Parametern fuer genaueres einstellen. Der
+ausgegebene p-Wert (p-value) kann dann mit dem Signifikanzwert
+(typischerweise 5% / 0.05) verglichen werden. Ist der Wert groesser als
+0.05 kann man annehmen, dass die Hypothese stimmt.</p>
+<div class="tutorial-exercise" data-label="hypothesis-test"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="4" data-pipe="|&gt;">
+<pre class="text"><code>cavg &lt;- gameData$&quot;Complexity Average&quot;
+owned &lt;- gameData$&quot;Owned Users&quot;
+ptime &lt;- gameData$&quot;Play Time&quot;</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
 <div class="panel-heading tutorial-quiz-title"><span data-i18n="text.quiz">Quiz</span></div>
 <div class="panel panel-default tutorial-question-container">
 <div data-label="hypothesis-quiz-1" class="tutorial-question panel-body">
@@ -1228,19 +1244,19 @@ learnr:::store_exercise_cache(structure(list(label = "replace-special-chars", gl
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-1", 
     question = structure("Mit welchem R-Befehl lassen sich Packages installieren?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_b3b3b08", 
+    "character")), answers = list(structure(list(id = "lnr_ans_12cf4cb", 
         option = "install.packages()", value = "install.packages()", 
         label = structure("install.packages()", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_32848a1", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_65b9fe3", 
         option = "add.packages()", value = "add.packages()", 
         label = structure("add.packages()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a02f92e", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_90226f5", 
         option = "install.library()", value = "install.library()", 
         label = structure("install.library()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_319adee", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_97a58eb", 
         option = "install()", value = "install()", label = structure("install()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
     "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
@@ -1251,7 +1267,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "second-quiz-1-answer", question = "second-quiz-1"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 1432656865.83287, options = list()), class = c("learnr_radio", 
+    seed = 1218072898.93279, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
 
@@ -1259,16 +1275,16 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-2", 
     question = structure("Mit welchem R-Befehl lassen sich die installierten Packages initialisieren?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_4b23e86", 
+    "character")), answers = list(structure(list(id = "lnr_ans_16687fb", 
         option = "use()", value = "use()", label = structure("use()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9186eff", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_7a27b3a", 
         option = "library()", value = "library()", label = structure("library()", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_815bf9a", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_3ad5217", 
         option = "init()", value = "init()", label = structure("init()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_d6009cf", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_683f85c", 
         option = "install.packages()", value = "install.packages()", 
         label = structure("install.packages()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
@@ -1280,23 +1296,23 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "second-quiz-2-answer", question = "second-quiz-2"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 134181754.437517, options = list()), class = c("learnr_radio", 
+    seed = 1599605720.25513, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-3", 
     question = structure("Welcher Packet benutzen wir, um XLSX-Dateien zu lesen?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_7af3d2b", 
+    "character")), answers = list(structure(list(id = "lnr_ans_f45d7ab", 
         option = "readxl()", value = "readxl()", label = structure("readxl()", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a15d56d", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_65934f8", 
         option = "readxls()", value = "readxls()", label = structure("readxls()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_5e7085b", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_33189f9", 
         option = "readexcel()", value = "readexcel()", label = structure("readexcel()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_d0af678", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_ac98401", 
         option = "excelread()", value = "excelread()", label = structure("excelread()", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
     "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
@@ -1307,7 +1323,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "second-quiz-3-answer", question = "second-quiz-3"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 2083917251.5296, options = list()), class = c("learnr_radio", 
+    seed = 163007436.924094, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
 
@@ -1315,19 +1331,19 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-4", 
     question = structure("Wie lassen sich einzelne Spalten aus dem Datensatz auslesen?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_d8d0eb1", 
+    "character")), answers = list(structure(list(id = "lnr_ans_96832df", 
         option = "dataset&\\`column\\`", value = "dataset&\\`column\\`", 
         label = structure("dataset&amp;`column`", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9204f47", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_c6758aa", 
         option = "column$dataset", value = "column$dataset", 
         label = structure("column$dataset", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_6b22e24", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_5ee110b", 
         option = "dataset%\\`column\\`", value = "dataset%\\`column\\`", 
         label = structure("dataset%`column`", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a08895", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_c3ffeb", 
         option = "dataset$\\`column\\`", value = "dataset$\\`column\\`", 
         label = structure("dataset$`column`", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
@@ -1339,7 +1355,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "second-quiz-4-answer", question = "second-quiz-4"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 1574339287.26689, options = list()), class = c("learnr_radio", 
+    seed = 826987455.114904, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
  
@@ -1560,7 +1576,7 @@ learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = s
 "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
 "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
     include = FALSE)), setup = NULL, chunks = list(list(label = "lm-plot", 
-    code = "raters <- gameData$\"Users Rated\"\nowned <- gameData$\"Owned Users\"\nx = lm()\nplot(, , pch = 16, col = \"blue\")\n", 
+    code = "raters <- gameData$\"Users Rated\"\nowned <- gameData$\"Owned Users\"\ncavg <- gameData$\"Complexity Average\"\nx = lm()\nplot(, , pch = 16, col = \"blue\")\n", 
     opts = list(label = "\"lm-plot\"", exercise = "TRUE", exercise.lines = "5"), 
     engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
     solution = NULL, tests = NULL, options = list(eval = FALSE, 
@@ -1581,8 +1597,52 @@ learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = s
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "lm-plot", exercise = TRUE, 
         exercise.lines = 5, code = c("raters <- gameData$\"Users Rated\"", 
-        "owned <- gameData$\"Owned Users\"", "x = lm()", "plot(, , pch = 16, col = \"blue\")", 
-        ""), out.width.px = 624, out.height.px = 384, params.src = "lm-plot, exercise=TRUE, exercise.lines=5", 
+        "owned <- gameData$\"Owned Users\"", "cavg <- gameData$\"Complexity Average\"", 
+        "x = lm()", "plot(, , pch = 16, col = \"blue\")", ""), 
+        out.width.px = 624, out.height.px = 384, params.src = "lm-plot, exercise=TRUE, exercise.lines=5", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-hypothesis-test-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-hypothesis-test-code-editor`)), session)
+output$`tutorial-exercise-hypothesis-test-output` <- renderUI({
+  `tutorial-exercise-hypothesis-test-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "hypothesis-test", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", 
+"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "hypothesis-test", 
+    code = "cavg <- gameData$\"Complexity Average\"\nowned <- gameData$\"Owned Users\"\nptime <- gameData$\"Play Time\"", 
+    opts = list(label = "\"hypothesis-test\"", exercise = "TRUE", 
+        exercise.lines = "4"), engine = "r")), code_check = NULL, 
+    error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
+    options = list(eval = FALSE, echo = TRUE, results = "markup", 
+        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
+        comment = NA, highlight = FALSE, size = "normalsize", 
+        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
+        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "hypothesis-test", exercise = TRUE, 
+        exercise.lines = 4, code = c("cavg <- gameData$\"Complexity Average\"", 
+        "owned <- gameData$\"Owned Users\"", "ptime <- gameData$\"Play Time\""
+        ), out.width.px = 624, out.height.px = 384, params.src = "hypothesis-test, exercise=TRUE, exercise.lines=4", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
 )))
@@ -1590,11 +1650,11 @@ learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = s
  
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "hypothesis-quiz-1", 
-    question = structure("Spiele mit hoeherem Complexity Score haben eine niedrigere Anzahl von Owned Users.", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_eed26d3", 
+    question = structure("Spiele mit hoeherem Complexity Average haben eine niedrigere Anzahl von Owned Users.", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_9bb2259", 
         option = "Wahr", value = "Wahr", label = structure("Wahr", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_ab0fd6", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_e13f1f", 
         option = "Falsch", value = "Falsch", label = structure("Falsch", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
     "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
@@ -1605,20 +1665,20 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "hypothesis-quiz-1-answer", question = "hypothesis-quiz-1"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 1623030304.74422, options = list()), class = c("learnr_radio", 
+    seed = 1536608112.28446, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
 
 
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "hypothesis-quiz-2", 
-    question = structure("Spiele mit hoeherem Complexity Score haben hoehere Play Time.", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_3501eb8", 
+    question = structure("Spiele mit hoeherem Complexity Average haben hoehere Play Time.", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_cf287ea", 
         option = "Wahr", value = "Wahr", label = structure("Wahr", html = TRUE, class = c("html", 
-        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_73bea82", 
-        option = "Falsch", value = "Falsch", label = structure("Falsch", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_73903cd", 
+        option = "Falsch", value = "Falsch", label = structure("Falsch", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
     "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
     "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
     "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
@@ -1627,7 +1687,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
     "character")), message = NULL, post_message = NULL), ids = list(
         answer = "hypothesis-quiz-2-answer", question = "hypothesis-quiz-2"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 1015741688.02701, options = list()), class = c("learnr_radio", 
+    seed = 1942667023.09538, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
  
@@ -1673,20 +1733,20 @@ learnr:::store_exercise_cache(structure(list(label = "plotExercise", global_setu
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-    "character")), answers = list(structure(list(id = "lnr_ans_497f51f", 
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+    seed = 1905845529.61252, options = list()), class = c("learnr_radio", 
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 <script type="application/shiny-prerendered" data-context="server">
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-    "character")), answers = list(structure(list(id = "lnr_ans_895cecb", 
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-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_659b21c", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_aeaac7b", 
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         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9dc790e", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_73781c9", 
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         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_96f30b", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_bacc9de", 
         option = "die Flaeche der Box", value = "die Flaeche der Box", 
         label = structure("die Flaeche der Box", html = TRUE, class = c("html", 
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-    seed = 163174556.924016, options = list()), class = c("learnr_radio", 
+    seed = 397739784.814788, options = list()), class = c("learnr_radio", 
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@@ -1769,15 +1829,15 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label
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-    "character")), answers = list(structure(list(id = "lnr_ans_1e82ddc", 
+    "character")), answers = list(structure(list(id = "lnr_ans_64c8763", 
         option = "es sind Punkte außerhalb der Box", value = "es sind Punkte außerhalb der Box", 
         label = structure("es sind Punkte außerhalb der Box", html = TRUE, class = c("html", 
         "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_c952e80", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_791bcb0", 
         option = "an der Größe der Box", value = "an der Größe der Box", 
         label = structure("an der Größe der Box", html = TRUE, class = c("html", 
         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9e9226b", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_2a2548c", 
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     loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
-    seed = 1639250954.73666, options = list()), class = c("learnr_radio", 
+    seed = 171218747.92027, options = list()), class = c("learnr_radio", 
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 </script>
  
@@ -1835,12 +1895,12 @@ learnr:::store_exercise_cache(structure(list(label = "barplotExercise", global_s
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