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pgt52m/pgt52m.html

@@ -624,15 +624,15 @@ <h2 class="anchored" data-anchor-id="week-8-one-way-anova-and-kruskal-wallis">We
 </section>
 <section id="week-9-assessment-intro" class="level2">
 <h2 class="anchored" data-anchor-id="week-9-assessment-intro">Week 9: Assessment intro</h2>
-<p>This week will introduce you to the assessment for this module. We will look at a specimen assessment which will use techinques you have already learnt and apply them to analysing a dataset. Your assessment will use a different dataset but you will apply the same principles. We will be covering what your assessment submission should contain using this example.</p>
+<p>This week, we will introduce you to the assessment for this module. We will look at a specimen assessment using techniques you have already learned and apply them to analysing a dataset. Your assessment will use a different dataset but you will apply the same principles. We will be covering what your assessment submission should contain using this example.</p>
 </section>
 <section id="week-10-reproducible-reporting" class="level2">
 <h2 class="anchored" data-anchor-id="week-10-reproducible-reporting">Week 10: Reproducible Reporting</h2>
-<p>Following on from last weeks introduction to the assessment. You will be introduced to quarto, which is a way of generating reproducible reports and you will need for your assessment. This will cover how to embedd sections and exectuable chunks of R code within your quarto files.</p>
+<p>Following on from last week’s introduction to the assessment. You will be introduced to quarto, which is a way of generating reproducible reports and you will need for your assessment. This will cover how to embed sections and executable chunks of R code within your quarto files.</p>
 </section>
 <section id="week-11-drop-in" class="level2">
 <h2 class="anchored" data-anchor-id="week-11-drop-in">Week 11: Drop-in</h2>
-<p>This session contains no set material, however we will cover topics that people have had difficulty with during the course and cover any material you may still be struggling with from the workshops. This will be our last timetabled session to ask questions prior to the asessment release and a good opportunities to ask any outstanding questions. No questions are silly questions!</p>
+<p>This session contains no set material however, we will cover topics that people have had difficulty with during the course and cover any material you may still be struggling with from the workshops. This will be our last timetabled session to ask questions prior to the asessment release and a good opportunity to ask any outstanding questions. No questions are silly questions!</p>
 
 
 </section>

search.json

@@ -3408,7 +3408,7 @@
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     "title": "52M Data Analysis in R",
     "section": "Week 9: Assessment intro",
-    "text": "Week 9: Assessment intro\nThis week will introduce you to the assessment for this module. We will look at a specimen assessment which will use techinques you have already learnt and apply them to analysing a dataset. Your assessment will use a different dataset but you will apply the same principles. We will be covering what your assessment submission should contain using this example.",
+    "text": "Week 9: Assessment intro\nThis week, we will introduce you to the assessment for this module. We will look at a specimen assessment using techniques you have already learned and apply them to analysing a dataset. Your assessment will use a different dataset but you will apply the same principles. We will be covering what your assessment submission should contain using this example.",
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@@ -3419,7 +3419,7 @@
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     "title": "52M Data Analysis in R",
     "section": "Week 10: Reproducible Reporting",
-    "text": "Week 10: Reproducible Reporting\nFollowing on from last weeks introduction to the assessment. You will be introduced to quarto, which is a way of generating reproducible reports and you will need for your assessment. This will cover how to embedd sections and exectuable chunks of R code within your quarto files.",
+    "text": "Week 10: Reproducible Reporting\nFollowing on from last week’s introduction to the assessment. You will be introduced to quarto, which is a way of generating reproducible reports and you will need for your assessment. This will cover how to embed sections and executable chunks of R code within your quarto files.",
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     "title": "52M Data Analysis in R",
     "section": "Week 11: Drop-in",
-    "text": "Week 11: Drop-in\nThis session contains no set material, however we will cover topics that people have had difficulty with during the course and cover any material you may still be struggling with from the workshops. This will be our last timetabled session to ask questions prior to the asessment release and a good opportunities to ask any outstanding questions. No questions are silly questions!",
+    "text": "Week 11: Drop-in\nThis session contains no set material however, we will cover topics that people have had difficulty with during the course and cover any material you may still be struggling with from the workshops. This will be our last timetabled session to ask questions prior to the asessment release and a good opportunity to ask any outstanding questions. No questions are silly questions!",
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