{"id":61,"date":"2023-01-31T00:46:14","date_gmt":"2023-01-31T00:46:14","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/distribution-of-quantitative-variables-learn-it-2\/"},"modified":"2025-05-11T19:41:02","modified_gmt":"2025-05-11T19:41:02","slug":"distribution-of-quantitative-variables-learn-it-2","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/distribution-of-quantitative-variables-learn-it-2\/","title":{"raw":"Distribution of Quantitative Variables: Learn It 2","rendered":"Distribution of Quantitative Variables: Learn It 2"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Describe the graph of a data set using shape, center, spread, and outliers&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4865,&quot;3&quot;:{&quot;1&quot;:0},&quot;11&quot;:0,&quot;12&quot;:0,&quot;15&quot;:&quot;Calibri&quot;}\">Describe the graph of a data set using its shape, center, spread, and outliers<\/span><\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Describing Center and Spread<\/h2>\r\n<p>To describe the pattern in a distribution of a quantitative variable, we describe more than the shape. The center and spread are two other important features of the distribution of the data set.<\/p>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>center<\/h3>\r\n<p>The <strong>center<\/strong> describes the location of the middle of the distribution.<\/p>\r\n<p>The center is a number that describes a typical value from the data set.<\/p>\r\n<p>For example, the center could be the point in the distribution where about half of the observations are below it and half are above it.<\/p>\r\n<\/section>\r\n<p><iframe src=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" width=\"100%\" height=\"850\"><\/iframe><\/p>\r\n<p>[<a href=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]802[\/ohm2_question]<\/section>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>spread<\/h3>\r\n<p>The <strong>spread<\/strong> is a measure of how much the values in a data set tend to differ or vary from one another.<\/p>\r\n<p>Variability\u00a0is another word for spread.<\/p>\r\n<p>One way we can measure the spread is by finding the minimum and maximum values in the data and calculating the difference between them. This difference is called the <strong>range<\/strong>.<\/p>\r\n<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]803[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Describe the graph of a data set using shape, center, spread, and outliers&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4865,&quot;3&quot;:{&quot;1&quot;:0},&quot;11&quot;:0,&quot;12&quot;:0,&quot;15&quot;:&quot;Calibri&quot;}\">Describe the graph of a data set using its shape, center, spread, and outliers<\/span><\/li>\n<\/ul>\n<\/section>\n<h2>Describing Center and Spread<\/h2>\n<p>To describe the pattern in a distribution of a quantitative variable, we describe more than the shape. The center and spread are two other important features of the distribution of the data set.<\/p>\n<section class=\"textbox keyTakeaway\">\n<h3>center<\/h3>\n<p>The <strong>center<\/strong> describes the location of the middle of the distribution.<\/p>\n<p>The center is a number that describes a typical value from the data set.<\/p>\n<p>For example, the center could be the point in the distribution where about half of the observations are below it and half are above it.<\/p>\n<\/section>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" width=\"100%\" height=\"850\"><\/iframe><\/p>\n<p>[<a href=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm802\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=802&theme=lumen&iframe_resize_id=ohm802&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox keyTakeaway\">\n<h3>spread<\/h3>\n<p>The <strong>spread<\/strong> is a measure of how much the values in a data set tend to differ or vary from one another.<\/p>\n<p>Variability\u00a0is another word for spread.<\/p>\n<p>One way we can measure the spread is by finding the minimum and maximum values in the data and calculating the difference between them. This difference is called the <strong>range<\/strong>.<\/p>\n<\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm803\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=803&theme=lumen&iframe_resize_id=ohm803&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":6,"menu_order":22,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":20,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/61"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":11,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/61\/revisions"}],"predecessor-version":[{"id":6609,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/61\/revisions\/6609"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/20"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/61\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=61"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=61"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=61"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=61"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}