{"id":1217,"date":"2022-04-07T22:33:17","date_gmt":"2022-04-07T22:33:17","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/?post_type=chapter&#038;p=1217"},"modified":"2022-05-20T16:44:40","modified_gmt":"2022-05-20T16:44:40","slug":"comparing-variability-of-data-sets-what-to-know-2","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/chapter\/comparing-variability-of-data-sets-what-to-know-2\/","title":{"raw":"Comparing Variability of Data Sets: What to Know 2","rendered":"Comparing Variability of Data Sets: What to Know 2"},"content":{"raw":"<h3 id=\"VarHist\">Histograms<\/h3>\r\nRecall that a histogram visualizes the distribution of a quantitative variable by displaying rectangular bars representing the frequencies (height of the bar) for intervals of data values called bins (width of the bar). Variability can be judged from a histogram by examining the distance of the bars from the statistical center (mean or median) of the graph. If the variability is high, equally sized or taller bars will appear away from the center of the graph. It the variability is low, the data will appear clustered around the center.\r\n\r\nThe images below show distributions of two different data sets using histograms. The first histogram displays the distribution of responses given by parents of thirteen year old children to the question, \"how much allowance do you give weekly?\" The second is a distribution of the heights in inches of\u00a0[latex]31[\/latex] thirteen year old boys attending the same middle-school. Use these histograms to answer Question 1 below.\r\n\r\n<img class=\"alignnone wp-image-1962 \" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2021\/12\/26180049\/WeeklyAllowance_Hist.png\" alt=\"a histogram showing weekly allowance ($) ranging from 0 to 20 dollars.\" width=\"450\" height=\"199\" \/>\u00a0<img class=\"alignnone wp-image-1963 \" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2021\/12\/26184147\/Hist_HeightMales13yr.png\" alt=\"a histogram labeled Height Age 13 Male (inches) which ranges from 56 to 66.\" width=\"450\" height=\"199\" \/>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>question 1<\/h3>\r\n[ohm_question hide_question_numbers=1]241054[\/ohm_question]\r\n\r\n[reveal-answer q=\"136179\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"136179\"]In which of the graphs do the values appear to be clustered closer together?[\/hidden-answer]\r\n\r\n<\/div>\r\n<h3 id=\"VarDot\">Dotplots<\/h3>\r\nA dotplot indicates the variability of the data or the extent to which each observation\u00a0differs from other observations. It can be easier to visualize variability using a dotplot than using a histogram because of the individual observations visible in the dotplot. Use the side-by-side dotplots in the image below to answer Questions 2 and 3.\r\n\r\nTen customers rated four different smartphone apps. The customer\u00a0ratings for the four different apps are shown in the following dotplots.\u00a0The mean for each app is equal to 3. Even though the mean, [latex]\\bar{x}[\/latex], is the same for each app, the dotplots for each app look very different.\r\n\r\n<strong><img class=\"alignnone wp-image-1004\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11193655\/Picture37-300x279.png\" alt=\"Four side by side dot plots with the horizontal axis labeled &quot;Rating,&quot; numbered in increments of 1 from 1 to 5. The first plot is labeled App 1. For rating 1, there is 1 dot. For rating 2, there are 2 dots. For rating 3, there are 3 dots. For rating 4, there are 2 dots. For rating 5, there is 1 dot. The next plot is titled App 2. For rating 3, there are 10 dots. The next graph is titled App 3. For rating 1, there are 5 dots. For rating 5, there are 5 dots. The next plot is titled App 4. For every rating, there are two dots.\" width=\"648\" height=\"603\" \/><\/strong>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>question 2<\/h3>\r\n[ohm_question hide_question_numbers=1]241055[\/ohm_question]\r\n\r\n[reveal-answer q=\"506703\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"506703\"]What do <em>you<\/em> think?[\/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]241057[\/ohm_question]\r\n\r\n[reveal-answer q=\"950930\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"950930\"]What do <em>you<\/em> think?[\/hidden-answer]\r\n\r\n<\/div>\r\nContinue to the next page to see how you can use technology to obtain descriptive statistics.","rendered":"<h3 id=\"VarHist\">Histograms<\/h3>\n<p>Recall that a histogram visualizes the distribution of a quantitative variable by displaying rectangular bars representing the frequencies (height of the bar) for intervals of data values called bins (width of the bar). Variability can be judged from a histogram by examining the distance of the bars from the statistical center (mean or median) of the graph. If the variability is high, equally sized or taller bars will appear away from the center of the graph. It the variability is low, the data will appear clustered around the center.<\/p>\n<p>The images below show distributions of two different data sets using histograms. The first histogram displays the distribution of responses given by parents of thirteen year old children to the question, &#8220;how much allowance do you give weekly?&#8221; The second is a distribution of the heights in inches of\u00a0[latex]31[\/latex] thirteen year old boys attending the same middle-school. Use these histograms to answer Question 1 below.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1962\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2021\/12\/26180049\/WeeklyAllowance_Hist.png\" alt=\"a histogram showing weekly allowance ($) ranging from 0 to 20 dollars.\" width=\"450\" height=\"199\" \/>\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1963\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2021\/12\/26184147\/Hist_HeightMales13yr.png\" alt=\"a histogram labeled Height Age 13 Male (inches) which ranges from 56 to 66.\" width=\"450\" height=\"199\" \/><\/p>\n<div class=\"textbox key-takeaways\">\n<h3>question 1<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241054\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241054&theme=oea&iframe_resize_id=ohm241054\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q136179\">Hint<\/span><\/p>\n<div id=\"q136179\" class=\"hidden-answer\" style=\"display: none\">In which of the graphs do the values appear to be clustered closer together?<\/div>\n<\/div>\n<\/div>\n<h3 id=\"VarDot\">Dotplots<\/h3>\n<p>A dotplot indicates the variability of the data or the extent to which each observation\u00a0differs from other observations. It can be easier to visualize variability using a dotplot than using a histogram because of the individual observations visible in the dotplot. Use the side-by-side dotplots in the image below to answer Questions 2 and 3.<\/p>\n<p>Ten customers rated four different smartphone apps. The customer\u00a0ratings for the four different apps are shown in the following dotplots.\u00a0The mean for each app is equal to 3. Even though the mean, [latex]\\bar{x}[\/latex], is the same for each app, the dotplots for each app look very different.<\/p>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1004\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11193655\/Picture37-300x279.png\" alt=\"Four side by side dot plots with the horizontal axis labeled &quot;Rating,&quot; numbered in increments of 1 from 1 to 5. The first plot is labeled App 1. For rating 1, there is 1 dot. For rating 2, there are 2 dots. For rating 3, there are 3 dots. For rating 4, there are 2 dots. For rating 5, there is 1 dot. The next plot is titled App 2. For rating 3, there are 10 dots. The next graph is titled App 3. For rating 1, there are 5 dots. For rating 5, there are 5 dots. The next plot is titled App 4. For every rating, there are two dots.\" width=\"648\" height=\"603\" \/><\/strong><\/p>\n<div class=\"textbox key-takeaways\">\n<h3>question 2<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241055\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241055&theme=oea&iframe_resize_id=ohm241055\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q506703\">Hint<\/span><\/p>\n<div id=\"q506703\" class=\"hidden-answer\" style=\"display: none\">What do <em>you<\/em> think?<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>question 3<\/h3>\n<p><iframe loading=\"lazy\" id=\"ohm241057\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=241057&theme=oea&iframe_resize_id=ohm241057\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q950930\">Hint<\/span><\/p>\n<div id=\"q950930\" class=\"hidden-answer\" style=\"display: none\">What do <em>you<\/em> think?<\/div>\n<\/div>\n<\/div>\n<p>Continue to the next page to see how you can use technology to obtain descriptive statistics.<\/p>\n","protected":false},"author":493460,"menu_order":37,"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-1217","chapter","type-chapter","status-publish","hentry"],"part":1252,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1217","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":3,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1217\/revisions"}],"predecessor-version":[{"id":1243,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapters\/1217\/revisions\/1243"}],"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\/1217\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/media?parent=1217"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/pressbooks\/v2\/chapter-type?post=1217"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/contributor?post=1217"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/exemplarstatistics\/wp-json\/wp\/v2\/license?post=1217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}