{"id":877,"date":"2024-07-25T17:10:29","date_gmt":"2024-07-25T17:10:29","guid":{"rendered":"https:\/\/research.ced.ncsu.edu\/ptmt\/?page_id=877"},"modified":"2024-09-30T10:37:57","modified_gmt":"2024-09-30T10:37:57","slug":"teaching-data-analysis-and-probability-chapter-4-analyzing-bivariate-data-with-fathom","status":"publish","type":"page","link":"https:\/\/research.ced.ncsu.edu\/ptmt\/teaching-data-analysis-and-probability\/teaching-data-analysis-and-probability-chapter-4-analyzing-bivariate-data-with-fathom\/","title":{"rendered":"Teaching Data Analysis and Probability Chapter 4- Analyzing Bivariate Data with Fathom"},"content":{"rendered":"\n

Teaching Data Analysis and Probability<\/a> > Chapter 4<\/p>\n\n\n\n

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Teaching Data Analysis and Probability Chapter 4- Analyzing Bivariate Data with Fathom<\/h2><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Building from ideas in Chapter 3, teachers continue to analyze the multivariate automobile data, with a particular focus on describing relationships in bivariate data and developing a linear model for making predictions. The concept of variation and deviations from the mean is used to help conceptualize correlation and least squares regression, including residual plots. Teachers consider difficulties students may have in analyzing bivariate data and how to help students ask their own questions and collect data through techniques such as importing data from the internet or developing a survey.<\/p>\n<\/div>\n\n\n\n

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Class Materials<\/strong><\/h3>\n\n\n\n
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Chapter Document<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Download Tech Files<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Instructor Materials<\/strong><\/h3>\n\n\n\n
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Teaching Tips<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Suggested Readings<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Sample Solutions<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Teaching Data Analysis and Probability > Chapter 4 Building from ideas in Chapter 3, teachers continue to analyze the multivariate automobile data, with a particular focus on describing relationships in bivariate data and developing a linear model for making predictions. The concept of variation and deviations from the mean is used to help conceptualize correlation […]<\/p>\n","protected":false},"author":66,"featured_media":233,"parent":366,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"test-blank-page","meta":{"_acf_changed":false,"ncst_custom_author":"","ncst_show_custom_author":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-877","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/pages\/877","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/users\/66"}],"replies":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/comments?post=877"}],"version-history":[{"count":6,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/pages\/877\/revisions"}],"predecessor-version":[{"id":1816,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/pages\/877\/revisions\/1816"}],"up":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/pages\/366"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/media\/233"}],"wp:attachment":[{"href":"https:\/\/research.ced.ncsu.edu\/ptmt\/wp-json\/wp\/v2\/media?parent=877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}