Teaching Bayes' Rule using Mosaic Plots
Students taking statistical courses orientated for business or economics often find the standard presentation of Bayes' Rule challenging. This key concept involves understanding multiple conditional probabilities and how they constitute an unconditional sample space. Many textbooks try to aid t...
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creator | White, Edward D Warr, Richard L |
description | Students taking statistical courses orientated for business or economics
often find the standard presentation of Bayes' Rule challenging. This key
concept involves understanding multiple conditional probabilities and how they
constitute an unconditional sample space. Many textbooks try to aid the
comprehension of Bayes' Rule by illustrating these probabilities with tree
diagrams. In our opinion, these diagrams fall short in fully assisting the
students to visualize Bayes' Rule. In this article, we demonstrate a graphical
approach that we have successfully used in the classroom, but is neglected in
introductory texts. This approach uses mosaic plots to show the weighting of
the conditional probabilities and greatly aids the student in understanding the
sample space and its associated probabilities. |
doi_str_mv | 10.48550/arxiv.2112.00162 |
format | Article |
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often find the standard presentation of Bayes' Rule challenging. This key
concept involves understanding multiple conditional probabilities and how they
constitute an unconditional sample space. Many textbooks try to aid the
comprehension of Bayes' Rule by illustrating these probabilities with tree
diagrams. In our opinion, these diagrams fall short in fully assisting the
students to visualize Bayes' Rule. In this article, we demonstrate a graphical
approach that we have successfully used in the classroom, but is neglected in
introductory texts. This approach uses mosaic plots to show the weighting of
the conditional probabilities and greatly aids the student in understanding the
sample space and its associated probabilities.</description><identifier>DOI: 10.48550/arxiv.2112.00162</identifier><language>eng</language><subject>Statistics - Applications</subject><creationdate>2021-11</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2112.00162$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2112.00162$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>White, Edward D</creatorcontrib><creatorcontrib>Warr, Richard L</creatorcontrib><title>Teaching Bayes' Rule using Mosaic Plots</title><description>Students taking statistical courses orientated for business or economics
often find the standard presentation of Bayes' Rule challenging. This key
concept involves understanding multiple conditional probabilities and how they
constitute an unconditional sample space. Many textbooks try to aid the
comprehension of Bayes' Rule by illustrating these probabilities with tree
diagrams. In our opinion, these diagrams fall short in fully assisting the
students to visualize Bayes' Rule. In this article, we demonstrate a graphical
approach that we have successfully used in the classroom, but is neglected in
introductory texts. This approach uses mosaic plots to show the weighting of
the conditional probabilities and greatly aids the student in understanding the
sample space and its associated probabilities.</description><subject>Statistics - Applications</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzrtuwkAQheFtKCLIA6TCHZXNzuzYa0piQRKJKAi5t8Z7AUsmjrxxhN8-gVAd6S-OPiGeQCaUp6lccn9pfhIEwERKyPBBLErH5tR8HqNnHl1YRIehddEQruW9C9yYaN9232EmJp7b4B7vOxXldlMWr_Hu4-WtWO9izjTGmlaqZmNRevaYU53lFtB6NjlQTQwpeQ1eo5JM9CdiQKpTdEZLqaxVUzH_v71Jq6--OXM_VldxdROrXxKXOXE</recordid><startdate>20211130</startdate><enddate>20211130</enddate><creator>White, Edward D</creator><creator>Warr, Richard L</creator><scope>EPD</scope><scope>GOX</scope></search><sort><creationdate>20211130</creationdate><title>Teaching Bayes' Rule using Mosaic Plots</title><author>White, Edward D ; Warr, Richard L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-7493bacd20faf284b68d12dfac814b4a154f71f7230a44550a124b52ec7003dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Statistics - Applications</topic><toplevel>online_resources</toplevel><creatorcontrib>White, Edward D</creatorcontrib><creatorcontrib>Warr, Richard L</creatorcontrib><collection>arXiv Statistics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>White, Edward D</au><au>Warr, Richard L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Teaching Bayes' Rule using Mosaic Plots</atitle><date>2021-11-30</date><risdate>2021</risdate><abstract>Students taking statistical courses orientated for business or economics
often find the standard presentation of Bayes' Rule challenging. This key
concept involves understanding multiple conditional probabilities and how they
constitute an unconditional sample space. Many textbooks try to aid the
comprehension of Bayes' Rule by illustrating these probabilities with tree
diagrams. In our opinion, these diagrams fall short in fully assisting the
students to visualize Bayes' Rule. In this article, we demonstrate a graphical
approach that we have successfully used in the classroom, but is neglected in
introductory texts. This approach uses mosaic plots to show the weighting of
the conditional probabilities and greatly aids the student in understanding the
sample space and its associated probabilities.</abstract><doi>10.48550/arxiv.2112.00162</doi><oa>free_for_read</oa></addata></record> |
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title | Teaching Bayes' Rule using Mosaic Plots |
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