created zip folder for classwork

byuistats · Jul 30, 2024 · 81f885a · 81f885a
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diff --git a/docs/index.html b/docs/index.html
@@ -383,10 +383,9 @@ <h3 class="anchored" data-anchor-id="download-course-material">Download Course M
 <li>Create a class folder where you will save all your work throughout this semester. This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.</li>
 <li>Click on the link below to download the <code>.zip</code> file containing all contents of the course website:</li>
 </ol>
-<p><a href="https://github.com/byuistats/Math221D_Course/archive/refs/heads/main.zip" class="button-download" download=""> Download Course Files </a></p>
-<p><a href="../Student_Work_zip.zip" class="button-download" download=""> Download Course Files </a></p>
+<p><a href="https://raw.github.com/byuistats/Math221D_Course/main/Student_Work_zip.zip" class="button-download" download=""> Download Course Files </a></p>
 <ol start="2" type="1">
-<li>Open the <code>.zip</code> file and the Folder called <code>Math221D_Course-main</code></li>
+<li>Open the <code>.zip</code> file</li>
 <li>Save the <code>Student_Work</code> folder to your class folder created in step 1. This can typically be done by right clicking the folder then copying and pasting it into the new location.</li>
 </ol>
 <p>These files will be the basis of your coursework.</p>

diff --git a/docs/search.json b/docs/search.json
@@ -4,7 +4,7 @@
     "href": "index.html",
     "title": "BYU-Idaho Math 221: Introduction to Statistics in R",
     "section": "",
-    "text": "This course is intended to familiarize students with foundational concepts and vocabulary in statistics and introduce basic data wrangling and visualization in R.\nThose who diligently work through these materials will be well prepared for their next Statistics or Data Science course.\nThis book is designed to be a digital workbook. You can download the Workbooks, Practice Problems and Application Activities which can be edited locally on your computer. Completed workbooks and assignments will be submitted in Canvas as web-page reports.\n\n\nTo download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:\n\nCreate a class folder where you will save all your work throughout this semester. This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.\nClick on the link below to download the .zip file containing all contents of the course website:\n\n Download Course Files \n Download Course Files \n\nOpen the .zip file and the Folder called Math221D_Course-main\nSave the Student_Work folder to your class folder created in step 1. This can typically be done by right clicking the folder then copying and pasting it into the new location.\n\nThese files will be the basis of your coursework.\n\n\n\nEach lesson will typically include:\n\nBackground readings (either from Stats Fundamentals or Workbooks)\nExample code (mostly in Workbooks)\nOpportunities to practice (Workbooks, Practice Problems and Application Activities)\n\nStats Fundamentals is a great reference for the core principles which are used throughout the course.\nWorkbooks are more hands-on, interactive activities that reinforce and expand on the key topics from Stats Fundamentals.\nThe Practice Problems tab provides opportunities to practice. Sometimes these will be done in class with the assistance of teacher, TA, and friends. Other times they will be completed on your own outside of class.\nApplication Activities are designed to give you a more real-world experience dealing with data. They are larger projects that may cover multiple lessons.\nThe section labeled “R Help” provides resources to help with R programming.\n\n\nThis book was specifically designed for the Math 221D section, Intro to Stats In R.\nAfter introducing some foundational principles of Statistics, the recommended sequence:\n\nCourse Introduction, including R installation\nSummarizing Data - Shape and Center\nSummarizing Data - Measures of Spread\nProbability\nNormal Distribution\nDistribution of Sample Means\nProbability Calculations for Means\nIntroduction to Hypothesis Testing\nIntroduction to Confidence Intervals\nInference for a Mean\nInference for Dependent Samples\nInference for Independent Samples\nANOVA\nRegression\nDistribution of \\(\\hat{p}\\)\nInference for 1 Proportion\nInference for 2 Proportions\nChi Square Test for Independence"
+    "text": "This course is intended to familiarize students with foundational concepts and vocabulary in statistics and introduce basic data wrangling and visualization in R.\nThose who diligently work through these materials will be well prepared for their next Statistics or Data Science course.\nThis book is designed to be a digital workbook. You can download the Workbooks, Practice Problems and Application Activities which can be edited locally on your computer. Completed workbooks and assignments will be submitted in Canvas as web-page reports.\n\n\nTo download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:\n\nCreate a class folder where you will save all your work throughout this semester. This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.\nClick on the link below to download the .zip file containing all contents of the course website:\n\n Download Course Files \n\nOpen the .zip file\nSave the Student_Work folder to your class folder created in step 1. This can typically be done by right clicking the folder then copying and pasting it into the new location.\n\nThese files will be the basis of your coursework.\n\n\n\nEach lesson will typically include:\n\nBackground readings (either from Stats Fundamentals or Workbooks)\nExample code (mostly in Workbooks)\nOpportunities to practice (Workbooks, Practice Problems and Application Activities)\n\nStats Fundamentals is a great reference for the core principles which are used throughout the course.\nWorkbooks are more hands-on, interactive activities that reinforce and expand on the key topics from Stats Fundamentals.\nThe Practice Problems tab provides opportunities to practice. Sometimes these will be done in class with the assistance of teacher, TA, and friends. Other times they will be completed on your own outside of class.\nApplication Activities are designed to give you a more real-world experience dealing with data. They are larger projects that may cover multiple lessons.\nThe section labeled “R Help” provides resources to help with R programming.\n\n\nThis book was specifically designed for the Math 221D section, Intro to Stats In R.\nAfter introducing some foundational principles of Statistics, the recommended sequence:\n\nCourse Introduction, including R installation\nSummarizing Data - Shape and Center\nSummarizing Data - Measures of Spread\nProbability\nNormal Distribution\nDistribution of Sample Means\nProbability Calculations for Means\nIntroduction to Hypothesis Testing\nIntroduction to Confidence Intervals\nInference for a Mean\nInference for Dependent Samples\nInference for Independent Samples\nANOVA\nRegression\nDistribution of \\(\\hat{p}\\)\nInference for 1 Proportion\nInference for 2 Proportions\nChi Square Test for Independence"
   },
   {
     "objectID": "index.html#download-course-material",
@@ -18,7 +18,7 @@
     "href": "index.html#a-customizable-textbook",
     "title": "BYU-Idaho Math 221: Introduction to Statistics in R",
     "section": "",
-    "text": "This course is intended to familiarize students with foundational concepts and vocabulary in statistics and introduce basic data wrangling and visualization in R.\nThose who diligently work through these materials will be well prepared for their next Statistics or Data Science course.\nThis book is designed to be a digital workbook. You can download the Workbooks, Practice Problems and Application Activities which can be edited locally on your computer. Completed workbooks and assignments will be submitted in Canvas as web-page reports.\n\n\nTo download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:\n\nCreate a class folder where you will save all your work throughout this semester. This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.\nClick on the link below to download the .zip file containing all contents of the course website:\n\n Download Course Files \n Download Course Files \n\nOpen the .zip file and the Folder called Math221D_Course-main\nSave the Student_Work folder to your class folder created in step 1. This can typically be done by right clicking the folder then copying and pasting it into the new location.\n\nThese files will be the basis of your coursework.\n\n\n\nEach lesson will typically include:\n\nBackground readings (either from Stats Fundamentals or Workbooks)\nExample code (mostly in Workbooks)\nOpportunities to practice (Workbooks, Practice Problems and Application Activities)\n\nStats Fundamentals is a great reference for the core principles which are used throughout the course.\nWorkbooks are more hands-on, interactive activities that reinforce and expand on the key topics from Stats Fundamentals.\nThe Practice Problems tab provides opportunities to practice. Sometimes these will be done in class with the assistance of teacher, TA, and friends. Other times they will be completed on your own outside of class.\nApplication Activities are designed to give you a more real-world experience dealing with data. They are larger projects that may cover multiple lessons.\nThe section labeled “R Help” provides resources to help with R programming.\n\n\nThis book was specifically designed for the Math 221D section, Intro to Stats In R.\nAfter introducing some foundational principles of Statistics, the recommended sequence:\n\nCourse Introduction, including R installation\nSummarizing Data - Shape and Center\nSummarizing Data - Measures of Spread\nProbability\nNormal Distribution\nDistribution of Sample Means\nProbability Calculations for Means\nIntroduction to Hypothesis Testing\nIntroduction to Confidence Intervals\nInference for a Mean\nInference for Dependent Samples\nInference for Independent Samples\nANOVA\nRegression\nDistribution of \\(\\hat{p}\\)\nInference for 1 Proportion\nInference for 2 Proportions\nChi Square Test for Independence"
+    "text": "This course is intended to familiarize students with foundational concepts and vocabulary in statistics and introduce basic data wrangling and visualization in R.\nThose who diligently work through these materials will be well prepared for their next Statistics or Data Science course.\nThis book is designed to be a digital workbook. You can download the Workbooks, Practice Problems and Application Activities which can be edited locally on your computer. Completed workbooks and assignments will be submitted in Canvas as web-page reports.\n\n\nTo download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:\n\nCreate a class folder where you will save all your work throughout this semester. This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.\nClick on the link below to download the .zip file containing all contents of the course website:\n\n Download Course Files \n\nOpen the .zip file\nSave the Student_Work folder to your class folder created in step 1. This can typically be done by right clicking the folder then copying and pasting it into the new location.\n\nThese files will be the basis of your coursework.\n\n\n\nEach lesson will typically include:\n\nBackground readings (either from Stats Fundamentals or Workbooks)\nExample code (mostly in Workbooks)\nOpportunities to practice (Workbooks, Practice Problems and Application Activities)\n\nStats Fundamentals is a great reference for the core principles which are used throughout the course.\nWorkbooks are more hands-on, interactive activities that reinforce and expand on the key topics from Stats Fundamentals.\nThe Practice Problems tab provides opportunities to practice. Sometimes these will be done in class with the assistance of teacher, TA, and friends. Other times they will be completed on your own outside of class.\nApplication Activities are designed to give you a more real-world experience dealing with data. They are larger projects that may cover multiple lessons.\nThe section labeled “R Help” provides resources to help with R programming.\n\n\nThis book was specifically designed for the Math 221D section, Intro to Stats In R.\nAfter introducing some foundational principles of Statistics, the recommended sequence:\n\nCourse Introduction, including R installation\nSummarizing Data - Shape and Center\nSummarizing Data - Measures of Spread\nProbability\nNormal Distribution\nDistribution of Sample Means\nProbability Calculations for Means\nIntroduction to Hypothesis Testing\nIntroduction to Confidence Intervals\nInference for a Mean\nInference for Dependent Samples\nInference for Independent Samples\nANOVA\nRegression\nDistribution of \\(\\hat{p}\\)\nInference for 1 Proportion\nInference for 2 Proportions\nChi Square Test for Independence"
   },
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     "objectID": "Workbooks/Tidyverse_Fundamentals.html",

diff --git a/index.qmd b/index.qmd
@@ -21,16 +21,12 @@ To download the folder containing all of the exercises, notes, R helps and Appli
 
   1. Create a class folder where you will save all your work throughout this semester.  This can be on your computer locally or in cloud-based storage such as One-Drive or iCloud.
   2. Click on the link below to download the `.zip` file containing all contents of the course website:
-
-<a href="https://github.com/byuistats/Math221D_Course/archive/refs/heads/main.zip" class="button-download" download>
-  Download Course Files
-</a>
 
-<a href="../Student_Work_zip.zip" class="button-download" download>
+<a href="https://raw.github.com/byuistats/Math221D_Course/main/Student_Work_zip.zip" class="button-download" download>
   Download Course Files
 </a>
 
-  2. Open the `.zip` file and the Folder called `Math221D_Course-main`
+  2. Open the `.zip` file
   3. Save the `Student_Work` folder to your class folder created in step 1.  This can typically be done by right clicking the folder then copying and pasting it into the new location. 
 
 These files will be the basis of your coursework.