{"id":49,"date":"2023-01-31T00:46:03","date_gmt":"2023-01-31T00:46:03","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/visualizing-quantitative-data-learn-it-2\/"},"modified":"2025-05-11T19:37:45","modified_gmt":"2025-05-11T19:37:45","slug":"visualizing-quantitative-data-learn-it-2","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/visualizing-quantitative-data-learn-it-2\/","title":{"raw":"Visualizing Quantitative Data: Learn It 2","rendered":"Visualizing Quantitative Data: Learn It 2"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Create a graph that displays key information from quantitative data<\/li>\r\n\t<li>Explain the differences between different graphs that display the same quantitative data<\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Histograms<\/h2>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>histogram<\/h3>\r\n<p>A <strong>histogram <\/strong>is a graphical representation using bars where data is grouped into number ranges, called bins, and the frequency of data within each range is the height of the bar. Histograms are a good choice for displaying data sets that have a large number of observations.<\/p>\r\n<p><strong>Note<\/strong>: Histograms are drawn so that there are no gaps between the bars.<\/p>\r\n<\/section>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>binwidth<\/h3>\r\n<p>The <strong>binwidth<\/strong> is the difference in the end points of each bar in a histogram. Binwidths must be equal within a single histogram. The width of the bins can be adjusted so that a histogram will not be overwhelmed by a large number of observations in a data set.<\/p>\r\n<p>Bins contain the number on their left edge (lowest value), but not the number on their right edge (highest value).<\/p>\r\n<\/section>\r\n<section class=\"textbox interact\">Use the tool and create a histogram for the distribution of age of the Best Actress or Actor winners using the following inputs:\r\n\r\n<p style=\"padding-left: 40px;\"><strong>STEP 1:<\/strong> Under \"Enter Data,\" make sure it says \"From Textbook\" then under \"Dataset\" select \"Oscars: Age.\"<strong><br \/>\r\nSTEP 2: <\/strong>Under \u201cChoose Type of Plot\u201d, select \u201cHistogram.\u201d<br \/>\r\n<strong>STEP 3: <\/strong><span style=\"background-color: initial; font-size: 12pt;\">Choose \u201cBinwidth\u201d of \u201c1.\u201d<\/span><\/p>\r\n<\/section>\r\n<section><\/section>\r\n<p><iframe src=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" width=\"100%\" height=\"850\" frameborder=\"no\"><\/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]778[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]777[\/ohm2_question]<\/section>\r\n<p>Changes in the binwidth of a histogram can change the appearance of the distribution. It's important that a histogram has an appropriate binwidth so that it can give you good information about the shape of the distribution.<\/p>\r\n<section class=\"textbox proTip\">The ideal number of bins can range anywhere from [latex]5[\/latex] to [latex]10[\/latex], but because every data set is different, there is no exact rule. Larger data sets with larger ranges will likely need more bins to display the distribution.<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]779[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Create a graph that displays key information from quantitative data<\/li>\n<li>Explain the differences between different graphs that display the same quantitative data<\/li>\n<\/ul>\n<\/section>\n<h2>Histograms<\/h2>\n<section class=\"textbox keyTakeaway\">\n<h3>histogram<\/h3>\n<p>A <strong>histogram <\/strong>is a graphical representation using bars where data is grouped into number ranges, called bins, and the frequency of data within each range is the height of the bar. Histograms are a good choice for displaying data sets that have a large number of observations.<\/p>\n<p><strong>Note<\/strong>: Histograms are drawn so that there are no gaps between the bars.<\/p>\n<\/section>\n<section class=\"textbox keyTakeaway\">\n<h3>binwidth<\/h3>\n<p>The <strong>binwidth<\/strong> is the difference in the end points of each bar in a histogram. Binwidths must be equal within a single histogram. The width of the bins can be adjusted so that a histogram will not be overwhelmed by a large number of observations in a data set.<\/p>\n<p>Bins contain the number on their left edge (lowest value), but not the number on their right edge (highest value).<\/p>\n<\/section>\n<section class=\"textbox interact\">Use the tool and create a histogram for the distribution of age of the Best Actress or Actor winners using the following inputs:<\/p>\n<p style=\"padding-left: 40px;\"><strong>STEP 1:<\/strong> Under &#8220;Enter Data,&#8221; make sure it says &#8220;From Textbook&#8221; then under &#8220;Dataset&#8221; select &#8220;Oscars: Age.&#8221;<strong><br \/>\nSTEP 2: <\/strong>Under \u201cChoose Type of Plot\u201d, select \u201cHistogram.\u201d<br \/>\n<strong>STEP 3: <\/strong><span style=\"background-color: initial; font-size: 12pt;\">Choose \u201cBinwidth\u201d of \u201c1.\u201d<\/span><\/p>\n<\/section>\n<section><\/section>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/eda_quantitative\/\" width=\"100%\" height=\"850\" frameborder=\"no\"><\/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=\"ohm778\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=778&theme=lumen&iframe_resize_id=ohm778&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm777\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=777&theme=lumen&iframe_resize_id=ohm777&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Changes in the binwidth of a histogram can change the appearance of the distribution. It&#8217;s important that a histogram has an appropriate binwidth so that it can give you good information about the shape of the distribution.<\/p>\n<section class=\"textbox proTip\">The ideal number of bins can range anywhere from [latex]5[\/latex] to [latex]10[\/latex], but because every data set is different, there is no exact rule. Larger data sets with larger ranges will likely need more bins to display the distribution.<\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm779\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=779&theme=lumen&iframe_resize_id=ohm779&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":6,"menu_order":17,"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\/49"}],"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":32,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/49\/revisions"}],"predecessor-version":[{"id":6604,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/49\/revisions\/6604"}],"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\/49\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=49"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=49"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=49"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=49"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}