{"id":1221,"date":"2022-04-07T22:38:39","date_gmt":"2022-04-07T22:38:39","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/?post_type=chapter&#038;p=1221"},"modified":"2022-05-20T16:45:26","modified_gmt":"2022-05-20T16:45:26","slug":"comparing-variability-of-data-sets-forming-connections-2","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/chapter\/comparing-variability-of-data-sets-forming-connections-2\/","title":{"raw":"Comparing Variability of Data Sets: Forming Connections 2","rendered":"Comparing Variability of Data Sets: Forming Connections 2"},"content":{"raw":"<h3 id=\"TechVar\">Variability<\/h3>\r\nLet's use a data set of movie runtimes to explore variability using technology. Follow the directions below to display the descriptive statistics for the database: Movie Run Time, and use the results to answer Questions 2 - 4 below.\r\n<div class=\"textbox\">\r\n\r\nGo to the Describing and Exploring Quantitative Variables tool at <a href=\"https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/\" target=\"_blank\" rel=\"noopener\">https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/<\/a>.\r\n<p style=\"padding-left: 30px;\">Step 1) Select the <strong>Several Groups<\/strong> tab.<\/p>\r\n<p style=\"padding-left: 30px;\">Step 2) Locate the drop-down menu under <strong>Enter Data<\/strong> and select <strong>From Textbook<\/strong>.<\/p>\r\n<p style=\"padding-left: 30px;\">Step 3) Locate the drop-down menu under <strong>Data Set<\/strong> and select <strong>Movie Run Time<\/strong>.<\/p>\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>question 2<\/h3>\r\n[ohm_question hide_question_numbers=1]241064[\/ohm_question]\r\n\r\n[reveal-answer q=\"442878\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"442878\"]Make sure the Several Groups tab is selected and refer to the Descriptive Statistics. Recall that variance is the square of standard deviation.[\/hidden-answer]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>question 3<\/h3>\r\n[ohm_question hide_question_numbers=1]241065[\/ohm_question]\r\n\r\n[reveal-answer q=\"866059\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"866059\"]Which type of display helps you see the spread of larger data sets more clearly? How much space does the data take up? [\/hidden-answer]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>question 4<\/h3>\r\n[ohm_question hide_question_numbers=1]241066[\/ohm_question]\r\n\r\n[reveal-answer q=\"435162\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"435162\"]Look at the distributions as histograms and as dotplots. Which is easier for seeing extreme values? Do you see anything of interest when viewing the dotplots?[\/hidden-answer]\r\n\r\n<\/div>\r\nNow that you have more experience with the different measures of variability, you will investigate the effects on variability when there are extreme values, or outliers present.","rendered":"<h3 id=\"TechVar\">Variability<\/h3>\n<p>Let&#8217;s use a data set of movie runtimes to explore variability using technology. Follow the directions below to display the descriptive statistics for the database: Movie Run Time, and use the results to answer Questions 2 &#8211; 4 below.<\/p>\n<div class=\"textbox\">\n<p>Go to the Describing and Exploring Quantitative Variables tool at <a href=\"https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/\" target=\"_blank\" rel=\"noopener\">https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/<\/a>.<\/p>\n<p style=\"padding-left: 30px;\">Step 1) Select the <strong>Several Groups<\/strong> tab.<\/p>\n<p style=\"padding-left: 30px;\">Step 2) Locate the drop-down menu under <strong>Enter Data<\/strong> and select <strong>From Textbook<\/strong>.<\/p>\n<p style=\"padding-left: 30px;\">Step 3) Locate the drop-down menu under <strong>Data Set<\/strong> and select <strong>Movie Run Time<\/strong>.<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>question 2<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241064\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241064&theme=oea&iframe_resize_id=ohm241064\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q442878\">Hint<\/span><\/p>\n<div id=\"q442878\" class=\"hidden-answer\" style=\"display: none\">Make sure the Several Groups tab is selected and refer to the Descriptive Statistics. Recall that variance is the square of standard deviation.<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>question 3<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241065\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241065&theme=oea&iframe_resize_id=ohm241065\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q866059\">Hint<\/span><\/p>\n<div id=\"q866059\" class=\"hidden-answer\" style=\"display: none\">Which type of display helps you see the spread of larger data sets more clearly? How much space does the data take up? <\/div>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>question 4<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241066\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241066&theme=oea&iframe_resize_id=ohm241066\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q435162\">Hint<\/span><\/p>\n<div id=\"q435162\" class=\"hidden-answer\" style=\"display: none\">Look at the distributions as histograms and as dotplots. Which is easier for seeing extreme values? Do you see anything of interest when viewing the dotplots?<\/div>\n<\/div>\n<\/div>\n<p>Now that you have more experience with the different measures of variability, you will investigate the effects on variability when there are extreme values, or outliers present.<\/p>\n","protected":false},"author":493460,"menu_order":42,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-1221","chapter","type-chapter","status-publish","hentry"],"part":1252,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/users\/493460"}],"version-history":[{"count":4,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1221\/revisions"}],"predecessor-version":[{"id":1249,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1221\/revisions\/1249"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/parts\/1252"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1221\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/media?parent=1221"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapter-type?post=1221"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/contributor?post=1221"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/license?post=1221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}