{"id":4539,"date":"2023-06-16T01:48:36","date_gmt":"2023-06-16T01:48:36","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=4539"},"modified":"2025-08-26T23:45:32","modified_gmt":"2025-08-26T23:45:32","slug":"representing-data-graphically-apply-it-1","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/representing-data-graphically-apply-it-1\/","title":{"raw":"Representing Data Graphically: Apply It 1","rendered":"Representing Data Graphically: Apply It 1"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Organize data using tables, charts, and graphs<\/li>\r\n\t<li>Create and analyze side-by-side and stacked bar graphs<\/li>\r\n\t<li>Create and analyze graphs of quantitative data<\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Java Journeys: Uncovering Coffee Consumption Patterns with Statistics<\/h2>\r\n<center>\r\n[caption id=\"attachment_6735\" align=\"aligncenter\" width=\"500\"]<img class=\"wp-image-6735\" src=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-300x200.jpg\" alt=\"A table at a coffee shop\" width=\"500\" height=\"333\" \/> Figure 1. Help Rebecca and Carlos with their data[\/caption]\r\n<\/center>\r\n<p>&nbsp;<\/p>\r\n<p>Rebecca and Carlos are two undergraduate students studying statistics. Both of them love to study at the campus coffee shop, 'Espresso Express'. They notice that their coffee-drinking habits change according to the time of the semester and the kind of classes they have. Intrigued by this observation, they decide to apply their statistics knowledge to better understand these patterns.<\/p>\r\n<p>Over a month, they recorded the types of beverages they ordered while studying. Here are their records:<\/p>\r\n<p style=\"text-align: center;\">Rebecca's Orders: <strong>[Espresso, Latte, Espresso, Americano, Latte, Latte, Cold Brew, Cold Brew, Americano, Latte, Espresso, Americano, Americano, Cold Brew, Latte, Espresso]<\/strong><\/p>\r\n<p style=\"text-align: center;\">Carlos's Orders: <strong>[Latte, Cold Brew, Americano, Cold Brew, Espresso, Espresso, Cold Brew, Latte, Americano, Espresso, Cold Brew, Cold Brew, Americano, Latte, Cold Brew, Espresso]<\/strong><\/p>\r\n<p>Based on this data, help them create a frequency table for their orders.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9581[\/ohm2_question]<\/section>\r\n<p>Using the frequency table, it should be easy to create a bar graph for this data.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9705[\/ohm2_question]<\/section>\r\n<p>Now, Rebecca and Carlos want to see their coffee habits compared side-by-side.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9706[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Organize data using tables, charts, and graphs<\/li>\n<li>Create and analyze side-by-side and stacked bar graphs<\/li>\n<li>Create and analyze graphs of quantitative data<\/li>\n<\/ul>\n<\/section>\n<h2>Java Journeys: Uncovering Coffee Consumption Patterns with Statistics<\/h2>\n<div style=\"text-align: center;\">\n<figure id=\"attachment_6735\" aria-describedby=\"caption-attachment-6735\" style=\"width: 500px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-6735\" src=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-300x200.jpg\" alt=\"A table at a coffee shop\" width=\"500\" height=\"333\" srcset=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-300x200.jpg 300w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-1024x683.jpg 1024w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-768x512.jpg 768w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-1200x800.jpg 1200w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-65x43.jpg 65w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-225x150.jpg 225w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50-350x233.jpg 350w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/06\/13141318\/pexels-maria-orlova-4946633_50.jpg 1392w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><figcaption id=\"caption-attachment-6735\" class=\"wp-caption-text\">Figure 1. Help Rebecca and Carlos with their data<\/figcaption><\/figure>\n<\/div>\n<p>&nbsp;<\/p>\n<p>Rebecca and Carlos are two undergraduate students studying statistics. Both of them love to study at the campus coffee shop, &#8216;Espresso Express&#8217;. They notice that their coffee-drinking habits change according to the time of the semester and the kind of classes they have. Intrigued by this observation, they decide to apply their statistics knowledge to better understand these patterns.<\/p>\n<p>Over a month, they recorded the types of beverages they ordered while studying. Here are their records:<\/p>\n<p style=\"text-align: center;\">Rebecca&#8217;s Orders: <strong>[Espresso, Latte, Espresso, Americano, Latte, Latte, Cold Brew, Cold Brew, Americano, Latte, Espresso, Americano, Americano, Cold Brew, Latte, Espresso]<\/strong><\/p>\n<p style=\"text-align: center;\">Carlos&#8217;s Orders: <strong>[Latte, Cold Brew, Americano, Cold Brew, Espresso, Espresso, Cold Brew, Latte, Americano, Espresso, Cold Brew, Cold Brew, Americano, Latte, Cold Brew, Espresso]<\/strong><\/p>\n<p>Based on this data, help them create a frequency table for their orders.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9581\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9581&theme=lumen&iframe_resize_id=ohm9581&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Using the frequency table, it should be easy to create a bar graph for this data.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9705\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9705&theme=lumen&iframe_resize_id=ohm9705&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Now, Rebecca and Carlos want to see their coffee habits compared side-by-side.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9706\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9706&theme=lumen&iframe_resize_id=ohm9706&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":23,"menu_order":8,"template":"","meta":{"_candela_citation":"[{\"type\":\"copyrighted_video\",\"description\":\"Table with empty dishware in cafe\",\"author\":\"Maria Orlova\",\"organization\":\"Pexels\",\"url\":\"https:\/\/www.pexels.com\/photo\/table-with-empty-dishware-in-cafe-4946633\/\",\"project\":\"\",\"license\":\"arr\",\"license_terms\":\"\"}]","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":[{"type":"copyrighted_video","description":"Table with empty dishware in cafe","author":"Maria Orlova","organization":"Pexels","url":"https:\/\/www.pexels.com\/photo\/table-with-empty-dishware-in-cafe-4946633\/","project":"","license":"arr","license_terms":""}],"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\/4539"}],"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":20,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4539\/revisions"}],"predecessor-version":[{"id":15703,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4539\/revisions\/15703"}],"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\/4539\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=4539"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=4539"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=4539"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=4539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}