{"id":48,"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-1\/"},"modified":"2025-05-11T19:37:26","modified_gmt":"2025-05-11T19:37:26","slug":"visualizing-quantitative-data-learn-it-1","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/visualizing-quantitative-data-learn-it-1\/","title":{"raw":"Visualizing Quantitative Data: Learn It 1","rendered":"Visualizing Quantitative Data: Learn It 1"},"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>Looking at Quantitative Data<\/h2>\r\n<p>Consider the statistical question: How old are the winners of the Best Actress and Best Actor awards at the Academy Awards (more commonly known as \"the Oscars\")?[footnote]https:\/\/www.oscars.org\/[\/footnote]<\/p>\r\n<section class=\"textbox recall\"><strong>Quantitative data<\/strong> are always numbers. Quantitative data are the result of counting or measuring attributes of a population. Amount of money, pulse rate, weight, number of people living in your town, and number of students who take statistics are examples of quantitative data. Quantitative data may be either\u00a0<strong>discrete<\/strong>\u00a0or\u00a0<strong>continuous<\/strong>.\r\n\r\n<ul>\r\n\t<li>All data that are the result of counting are called\u00a0<strong>quantitative discrete data<\/strong>. Quantitative discrete data can be represented by non-integer values if they still represent a fixed list of values like 1.0, 1.5, 2.0... etc<\/li>\r\n\t<li><strong>Continuous quantitative data<\/strong>, on the other hand, can take on any value within a given range. These data points can be measured with a high degree of precision.<\/li>\r\n<\/ul>\r\n<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]775[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]776[\/ohm2_question]<\/section>\r\n<section><\/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>Looking at Quantitative Data<\/h2>\n<p>Consider the statistical question: How old are the winners of the Best Actress and Best Actor awards at the Academy Awards (more commonly known as &#8220;the Oscars&#8221;)?<a class=\"footnote\" title=\"https:\/\/www.oscars.org\/\" id=\"return-footnote-48-1\" href=\"#footnote-48-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a><\/p>\n<section class=\"textbox recall\"><strong>Quantitative data<\/strong> are always numbers. Quantitative data are the result of counting or measuring attributes of a population. Amount of money, pulse rate, weight, number of people living in your town, and number of students who take statistics are examples of quantitative data. Quantitative data may be either\u00a0<strong>discrete<\/strong>\u00a0or\u00a0<strong>continuous<\/strong>.<\/p>\n<ul>\n<li>All data that are the result of counting are called\u00a0<strong>quantitative discrete data<\/strong>. Quantitative discrete data can be represented by non-integer values if they still represent a fixed list of values like 1.0, 1.5, 2.0&#8230; etc<\/li>\n<li><strong>Continuous quantitative data<\/strong>, on the other hand, can take on any value within a given range. These data points can be measured with a high degree of precision.<\/li>\n<\/ul>\n<\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm775\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=775&theme=lumen&iframe_resize_id=ohm775&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm776\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=776&theme=lumen&iframe_resize_id=ohm776&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section><\/section>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-48-1\">https:\/\/www.oscars.org\/ <a href=\"#return-footnote-48-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":6,"menu_order":16,"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\/48"}],"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":13,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/48\/revisions"}],"predecessor-version":[{"id":6603,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/48\/revisions\/6603"}],"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\/48\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=48"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=48"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=48"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=48"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}