{"id":4551,"date":"2023-06-16T01:50:26","date_gmt":"2023-06-16T01:50:26","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=4551"},"modified":"2024-10-18T20:54:18","modified_gmt":"2024-10-18T20:54:18","slug":"data-exploration-apply-it-2","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/data-exploration-apply-it-2\/","title":{"raw":"Data Exploration: Apply It 2","rendered":"Data Exploration: Apply It 2"},"content":{"raw":"<h2>Data Exploration: Menu Prices Cont.<\/h2>\r\nNow, create a five-number summary for the dinner prices.\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9593[\/ohm2_question]<\/section>Let's analyze the data we just discovered.\r\n\r\nThe price range at the downtown restaurants is wide, from [latex]$7[\/latex]\u00a0 to [latex]$47[\/latex] per plate.\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9594[\/ohm2_question]<\/section>We can easily see in the histogram that most places charge [latex]$8[\/latex] - [latex]$15[\/latex] on average. But since these average prices, we don't really have information about the individual ranges at each restaurant. We see that we have one very extreme value of [latex]$47[\/latex] per plate. It would be interesting to find out how many and how expensive that restaurant truly is (or is one extremely pricey dinner, say surf and turf at market prices, pulling the mean up there?). We also might wonder about the three restaurants with average dinner plates of [latex]$7[\/latex]. Are they factoring in the kids menu or a senior menu at a very casual sandwich shop to bring the average cost down? Or are there a couple of hot dog vendors with permanent corner spots? Not being able to answer those questions without further study, we can at least safely report an array of [latex]19[\/latex] affordable places to eat downtown.\r\n\r\nNote the skewness of [latex]1.72[\/latex] in the list of descriptive statistics. We could have know just by looking at that that we had an outlier present. Any skewness over [latex]1[\/latex] is at least fairly significant. But we can also see that the median value is [latex]12.5[\/latex] while the mean is [latex]15.5[\/latex].\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9595[\/ohm2_question]<\/section>The standard deviation of the data at [latex]9.87[\/latex] tells us that the average plate varies from the center by about [latex]$10[\/latex]. The spread lets us know that dining options downtown are are highly variable. So, we could say that a diner without a plan could reasonably expect to pay between [latex]$7[\/latex] (maybe for a corner hot dog) and [latex]$22.50[\/latex] for a restaurant experience. Of course, they could always spring for lobster and a filet.\r\n\r\nGreat job exploring the menu price data. Hopefully, you now see the benefit of using spreadsheets when analyzing data. While it is good to know how to analyze the data yourself, a spreadsheet can be really helpful with large number sets.","rendered":"<h2>Data Exploration: Menu Prices Cont.<\/h2>\n<p>Now, create a five-number summary for the dinner prices.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9593\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9593&theme=lumen&iframe_resize_id=ohm9593&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Let&#8217;s analyze the data we just discovered.<\/p>\n<p>The price range at the downtown restaurants is wide, from [latex]$7[\/latex]\u00a0 to [latex]$47[\/latex] per plate.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9594\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9594&theme=lumen&iframe_resize_id=ohm9594&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>We can easily see in the histogram that most places charge [latex]$8[\/latex] &#8211; [latex]$15[\/latex] on average. But since these average prices, we don&#8217;t really have information about the individual ranges at each restaurant. We see that we have one very extreme value of [latex]$47[\/latex] per plate. It would be interesting to find out how many and how expensive that restaurant truly is (or is one extremely pricey dinner, say surf and turf at market prices, pulling the mean up there?). We also might wonder about the three restaurants with average dinner plates of [latex]$7[\/latex]. Are they factoring in the kids menu or a senior menu at a very casual sandwich shop to bring the average cost down? Or are there a couple of hot dog vendors with permanent corner spots? Not being able to answer those questions without further study, we can at least safely report an array of [latex]19[\/latex] affordable places to eat downtown.<\/p>\n<p>Note the skewness of [latex]1.72[\/latex] in the list of descriptive statistics. We could have know just by looking at that that we had an outlier present. Any skewness over [latex]1[\/latex] is at least fairly significant. But we can also see that the median value is [latex]12.5[\/latex] while the mean is [latex]15.5[\/latex].<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9595\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9595&theme=lumen&iframe_resize_id=ohm9595&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>The standard deviation of the data at [latex]9.87[\/latex] tells us that the average plate varies from the center by about [latex]$10[\/latex]. The spread lets us know that dining options downtown are are highly variable. So, we could say that a diner without a plan could reasonably expect to pay between [latex]$7[\/latex] (maybe for a corner hot dog) and [latex]$22.50[\/latex] for a restaurant experience. Of course, they could always spring for lobster and a filet.<\/p>\n<p>Great job exploring the menu price data. Hopefully, you now see the benefit of using spreadsheets when analyzing data. While it is good to know how to analyze the data yourself, a spreadsheet can be really helpful with large number sets.<\/p>\n","protected":false},"author":23,"menu_order":21,"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\/4551"}],"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":4,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4551\/revisions"}],"predecessor-version":[{"id":7719,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4551\/revisions\/7719"}],"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\/4551\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=4551"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=4551"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=4551"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=4551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}