{"id":866,"date":"2023-03-20T19:17:41","date_gmt":"2023-03-20T19:17:41","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/comparing-boxplot-data-and-displays-learn-it-4\/"},"modified":"2024-02-27T21:25:25","modified_gmt":"2024-02-27T21:25:25","slug":"comparing-boxplot-data-and-displays-learn-it-4","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/comparing-boxplot-data-and-displays-learn-it-4\/","title":{"raw":"Boxplot Data and Displays: Learn It 4","rendered":"Boxplot Data and Displays: Learn It 4"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Read information from a boxplot and make conclusions<\/li>\r\n\t<li>Compare boxplots<\/li>\r\n<\/ul>\r\n<\/section>\r\n<p>Now, let's use technology to find the five-number summary and create a boxplot.<\/p>\r\n<section class=\"textbox interact\">Go to the Describing and Exploring Quantitative Variables tool.\r\n\r\n<p style=\"padding-left: 30px;\"><strong>Step 1:<\/strong> Select the <strong>Single Group<\/strong>\u00a0tab.<\/p>\r\n<p style=\"padding-left: 30px;\"><strong>Step 2:<\/strong> Locate the dropdown under <strong>Enter Data<\/strong> and select <strong>From Textbook<\/strong>.<\/p>\r\n<p style=\"padding-left: 30px;\"><strong>Step 3:<\/strong> Locate the drop-down menu under <strong>Data Set<\/strong> and select <strong>Sleep Study: Average Sleep<\/strong>.<\/p>\r\n<p style=\"padding-left: 30px;\"><strong>Step 4:<\/strong> Select the Type of Plot as <strong>Boxplot<\/strong>. You may deselect the other types. You can also click on <strong>Vertical Boxplot<\/strong>\u00a0option if you prefer a vertical one.<\/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><br \/>\r\n[<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]2663[\/ohm2_question]<\/section>\r\n<p>You can also input your own data set into the statistical tool by selecting <strong>Your Own<\/strong> under <strong>Enter Data<\/strong>.<\/p>\r\n<section class=\"textbox youChoose\">[choosedataset divId=\"tnh-choose-dataset\" title=\"Choose Your Own Dataset\" label=\"\" default=\"Choose a data set\"]<br \/>\r\n[datasetoption]<br \/>\r\n[displayname]SAT and GPA[\/displayname]<br \/>\r\n[ohmid]2773[\/ohmid]<br \/>\r\n[\/datasetoption]<br \/>\r\n[datasetoption]<br \/>\r\n[displayname]Testosterone in Athletes[\/displayname]<br \/>\r\n[ohmid]2774[\/ohmid]<br \/>\r\n[\/datasetoption]<br \/>\r\n[datasetoption]<br \/>\r\n[displayname]Top 100 Twitter Accounts[\/displayname]<br \/>\r\n[ohmid]2775[\/ohmid]<br \/>\r\n[\/datasetoption][\/choosedataset]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Read information from a boxplot and make conclusions<\/li>\n<li>Compare boxplots<\/li>\n<\/ul>\n<\/section>\n<p>Now, let&#8217;s use technology to find the five-number summary and create a boxplot.<\/p>\n<section class=\"textbox interact\">Go to the Describing and Exploring Quantitative Variables tool.<\/p>\n<p style=\"padding-left: 30px;\"><strong>Step 1:<\/strong> Select the <strong>Single Group<\/strong>\u00a0tab.<\/p>\n<p style=\"padding-left: 30px;\"><strong>Step 2:<\/strong> Locate the dropdown under <strong>Enter Data<\/strong> and select <strong>From Textbook<\/strong>.<\/p>\n<p style=\"padding-left: 30px;\"><strong>Step 3:<\/strong> Locate the drop-down menu under <strong>Data Set<\/strong> and select <strong>Sleep Study: Average Sleep<\/strong>.<\/p>\n<p style=\"padding-left: 30px;\"><strong>Step 4:<\/strong> Select the Type of Plot as <strong>Boxplot<\/strong>. You may deselect the other types. You can also click on <strong>Vertical Boxplot<\/strong>\u00a0option if you prefer a vertical one.<\/p>\n<\/section>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" width=\"100%\" height=\"850\"><\/iframe><\/p>\n<p>\n[<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=\"ohm2663\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=2663&theme=lumen&iframe_resize_id=ohm2663&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>You can also input your own data set into the statistical tool by selecting <strong>Your Own<\/strong> under <strong>Enter Data<\/strong>.<\/p>\n<section class=\"textbox youChoose\">\n<div id=\"tnh-choose-dataset\" class=\"chooseDataset\">\n<h3>Choose Your Own Dataset<\/h3>\n<form><select name=\"dataset\"><option value=\"\">Choose a data set<\/option><option value=\"2773\">SAT and GPA<\/option><option value=\"2774\">Testosterone in Athletes<\/option><option value=\"2775\">Top 100 Twitter Accounts<\/option><\/select><\/form>\n<div class=\"ohmContainer\"><\/div>\n<\/p><\/div>\n<\/section>\n","protected":false},"author":13,"menu_order":23,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":834,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":[{"divId":"tnh-choose-dataset","title":"Choose Your Own Dataset","label":"","default":"Choose a data set","try_it_collection":[{"displayName":"SAT and GPA","value":"2773"},{"displayName":"Testosterone in Athletes","value":"2774"},{"displayName":"Top 100 Twitter Accounts","value":"2775"}]}],"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/866"}],"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\/13"}],"version-history":[{"count":7,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/866\/revisions"}],"predecessor-version":[{"id":5713,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/866\/revisions\/5713"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/834"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/866\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=866"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=866"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=866"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}