{"id":4547,"date":"2023-06-16T01:49:54","date_gmt":"2023-06-16T01:49:54","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=4547"},"modified":"2024-10-18T20:54:15","modified_gmt":"2024-10-18T20:54:15","slug":"numerical-summaries-of-data-apply-it-2","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/numerical-summaries-of-data-apply-it-2\/","title":{"raw":"Numerical Summaries of Data: Apply It 2","rendered":"Numerical Summaries of Data: Apply It 2"},"content":{"raw":"<h2>Statistical Exploration with the College Bookstore Cont.<\/h2>\r\n<p>Textbook prices have a broad range due to various factors such as course requirements and publishers. You're looking at a sample of textbook prices:<\/p>\r\n<center>[latex][$75, $80, $85, $90, $95, $100, $105, $110, $115, $120][\/latex]<\/center>\r\n<p><\/p>\r\nTo have a clearer understanding of the distribution of these prices, identify the parts of a five-number summary (minimum, first quartile, median, third quartile, maximum).\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9588[\/ohm2_question]<\/section>\r\n<p>Let's take the five-number summary you just created and turn it into a box plot.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9589[\/ohm2_question]<\/section>\r\n<p>To get a better sense of the data, calculate the interquartile range (IQR) of the textbook prices.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9590[\/ohm2_question]<\/section>\r\n<p>Great work today looking over the book stores sales! Through this activity, you've practiced a range of statistical calculations and visualizations. Understanding and interpreting statistics is fundamental in data analysis. It helps you to describe, summarize, and represent data quickly and effectively. It also gives you the basis for making decisions about your bookstore operation and possibly predicting future trends.<\/p>","rendered":"<h2>Statistical Exploration with the College Bookstore Cont.<\/h2>\n<p>Textbook prices have a broad range due to various factors such as course requirements and publishers. You&#8217;re looking at a sample of textbook prices:<\/p>\n<div style=\"text-align: center;\">[latex][$75, $80, $85, $90, $95, $100, $105, $110, $115, $120][\/latex]<\/div>\n<\/p>\n<p>To have a clearer understanding of the distribution of these prices, identify the parts of a five-number summary (minimum, first quartile, median, third quartile, maximum).<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9588\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9588&theme=lumen&iframe_resize_id=ohm9588&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Let&#8217;s take the five-number summary you just created and turn it into a box plot.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9589\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9589&theme=lumen&iframe_resize_id=ohm9589&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>To get a better sense of the data, calculate the interquartile range (IQR) of the textbook prices.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9590\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9590&theme=lumen&iframe_resize_id=ohm9590&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Great work today looking over the book stores sales! Through this activity, you&#8217;ve practiced a range of statistical calculations and visualizations. Understanding and interpreting statistics is fundamental in data analysis. It helps you to describe, summarize, and represent data quickly and effectively. It also gives you the basis for making decisions about your bookstore operation and possibly predicting future trends.<\/p>\n","protected":false},"author":23,"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":1572,"module-header":"apply_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\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4547"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/users\/23"}],"version-history":[{"count":7,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4547\/revisions"}],"predecessor-version":[{"id":11109,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4547\/revisions\/11109"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/parts\/1572"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4547\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=4547"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=4547"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=4547"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=4547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}