updated index.qmd

docs/index.html

@@ -341,9 +341,9 @@
     <h2 id="toc-title">On this page</h2>
 
   <ul>
-  <li><a href="#download-course-material" id="toc-download-course-material" class="nav-link active" data-scroll-target="#download-course-material">Download Course Material</a></li>
-  <li><a href="#a-customizable-textbook" id="toc-a-customizable-textbook" class="nav-link" data-scroll-target="#a-customizable-textbook">A Customizable Textbook</a>
+  <li><a href="#a-customizable-textbook" id="toc-a-customizable-textbook" class="nav-link active" data-scroll-target="#a-customizable-textbook">A Customizable Textbook</a>
   <ul class="collapse">
+  <li><a href="#download-course-material" id="toc-download-course-material" class="nav-link" data-scroll-target="#download-course-material">Download Course Material</a></li>
   <li><a href="#how-to-use-this-book" id="toc-how-to-use-this-book" class="nav-link" data-scroll-target="#how-to-use-this-book">How to Use This Book</a></li>
   </ul></li>
   </ul>
@@ -371,19 +371,32 @@ <h1 class="title">BYU-Idaho Math 221: Introduction to Statistics in R</h1>
 </header>
 
 
-<section id="download-course-material" class="level2">
-<h2 class="anchored" data-anchor-id="download-course-material">Download Course Material</h2>
-<p>You can download all the course content including exercises, workbooks, application activities and R helps by clicking on the link:</p>
-<p><a href="https://github.com/byuistats/Math221D_Course/archive/refs/heads/main.zip" class="button-download" download=""> Download Course Files </a></p>
-</section>
 <section id="a-customizable-textbook" class="level2">
 <h2 class="anchored" data-anchor-id="a-customizable-textbook">A Customizable Textbook</h2>
 <p>This course is intended to familiarize students with foundational concepts and vocabulary in statistics and introduce basic data wrangling and visualization in R.</p>
 <p>Those who diligently work through these materials will be well prepared for their next Statistics or Data Science course.</p>
 <p>This 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.</p>
+<section id="download-course-material" class="level3">
+<h3 class="anchored" data-anchor-id="download-course-material">Download Course Material</h3>
+<p>T0 download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:</p>
+<ol type="1">
+<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>
+<ol start="2" type="1">
+<li>Open the <code>.zip</code> file and the Folder called <code>Math221D_Course-main</code></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>
+</section>
 <section id="how-to-use-this-book" class="level3">
 <h3 class="anchored" data-anchor-id="how-to-use-this-book">How to Use This Book</h3>
-<p>Each lesson will typically include: * Background readings (either from Stats Fundamentals or Workbooks) * Example code (mostly in Workbooks) * Opportunities to practice (Workbooks, Practice Problems and Application Activities)</p>
+<p>Each lesson will typically include:</p>
+<ul>
+<li>Background readings (either from Stats Fundamentals or Workbooks)</li>
+<li>Example code (mostly in Workbooks)</li>
+<li>Opportunities to practice (Workbooks, Practice Problems and Application Activities)</li>
+</ul>
 <p>Stats Fundamentals is a great reference for the core principles which are used throughout the course.</p>
 <p>Workbooks are more hands-on, interactive activities that reinforce and expand on the key topics from Stats Fundamentals.</p>
 <p>The 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.</p>

docs/search.json

@@ -4,7 +4,7 @@
     "href": "index.html",
     "title": "BYU-Idaho Math 221: Introduction to Statistics in R",
     "section": "",
-    "text": "You can download all the course content including exercises, workbooks, application activities and R helps by clicking on the link:\n Download Course Files"
+    "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\nT0 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 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\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",
@@ -17,8 +17,8 @@
     "objectID": "index.html#a-customizable-textbook",
     "href": "index.html#a-customizable-textbook",
     "title": "BYU-Idaho Math 221: Introduction to Statistics in R",
-    "section": "A Customizable Textbook",
-    "text": "A Customizable Textbook\nThis 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\nHow to Use This Book\nEach lesson will typically include: * Background readings (either from Stats Fundamentals or Workbooks) * Example code (mostly in Workbooks) * Opportunities to practice (Workbooks, Practice Problems and Application Activities)\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\nSuggested Sequence of Topics for Teaching\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"
+    "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\nT0 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 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\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": "Workbooks/Tidyverse_Fundamentals.html",

index.qmd

@@ -5,15 +5,6 @@ title: "BYU-Idaho Math 221: Introduction to Statistics in R"
 knitr::opts_chunk$set(echo = TRUE)
 ```
 
-## Download Course Material
-
-You can download all the course content including exercises, workbooks, application activities and R helps by clicking on the link:
-
-
-<a href="https://github.com/byuistats/Math221D_Course/archive/refs/heads/main.zip" class="button-download" download>
-  Download Course Files
-</a>
-
 
 ## A Customizable Textbook
 
@@ -24,9 +15,25 @@ Those who diligently work through these materials will be well prepared for thei
 This 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.  
 
 
+### Download Course Material
+
+T0 download the folder containing all of the exercises, notes, R helps and Application Activities by following these steps:
+
+  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>
+
+  2. Open the `.zip` file and the Folder called `Math221D_Course-main`
+  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. 
+
+
 ### How to Use This Book
 
 Each lesson will typically include:
+
   * Background readings (either from Stats Fundamentals or Workbooks)
   * Example code (mostly in Workbooks)
   * Opportunities to practice (Workbooks, Practice Problems and Application Activities)
@@ -41,6 +48,7 @@ Application Activities are designed to give you a more real-world experience dea
 
 The section labeled "R Help" provides resources to help with R programming.
 
+
 #### Suggested Sequence of Topics for Teaching
 
 This book was specifically designed for the Math 221D section, Intro to Stats In R.