{"id":976,"date":"2022-01-11T18:58:28","date_gmt":"2022-01-11T18:58:28","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&#038;p=976"},"modified":"2022-02-04T19:59:53","modified_gmt":"2022-02-04T19:59:53","slug":"3e","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/3e\/","title":{"raw":"3E","rendered":"3E"},"content":{"raw":"<div align=\"center\">\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><strong>Major<\/strong><\/td>\r\n<td><strong>Major_category<\/strong><\/td>\r\n<td><strong>Median_salary<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>ACCOUNTING<\/td>\r\n<td>Business<\/td>\r\n<td>45000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>ACTUARIAL SCIENCE<\/td>\r\n<td>Business<\/td>\r\n<td>62000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>FINANCE<\/td>\r\n<td>Business<\/td>\r\n<td>47000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>GENERAL BUSINESS<\/td>\r\n<td>Business<\/td>\r\n<td>40000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>HOSPITALITY MANAGEMENT<\/td>\r\n<td>Business<\/td>\r\n<td>33000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>MARKETING AND MARKETING RESEARCH<\/td>\r\n<td>Business<\/td>\r\n<td>38000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>MISCELLANEOUS BUSINESS AND MEDICAL ADMINISTRATION<\/td>\r\n<td>Business<\/td>\r\n<td>40000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>OPERATIONS LOGISTICS AND E-COMMERCE<\/td>\r\n<td>Business<\/td>\r\n<td>50000<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>AEROSPACE ENGINEERING<\/td>\r\n<td>Engineering<\/td>\r\n<td>60000<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div style=\"text-align: left;\" align=\"center\">\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td>Skill or Concept: I can . . .<\/td>\r\n<td>Questions to check your understanding<\/td>\r\n<td>Rating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Use technology to create a histogram or dotplot.<\/td>\r\n<td>1, 4<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Compare centers of distributions of a quantitative variable.<\/td>\r\n<td>2<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Compare spread in distributions of a quantitative variable.<\/td>\r\n<td>3, 6<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Describe the shape of the distribution of a quantitative variable.<\/td>\r\n<td>1, 4<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Determine the presence of outliers in the distribution of a quantitative variable.<\/td>\r\n<td>5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<img class=\"alignnone wp-image-977\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185504\/Picture15-300x101.png\" alt=\"Two bar charts are shown. Chart A is labeled flipper length, with count on the y-axis and flipper length in millimeters on the x-axis. The data has two peaks, with one trough separating the peaks. Chart B is labeled Bill depth, with count on the y-axis and bill depth in millimeters on the x-axis. The data has multiple peaks, with small but fairly defined dips between each peak. \" width=\"894\" height=\"301\" \/> <img class=\"alignnone wp-image-978\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185508\/Picture16-300x133.png\" alt=\"A bar chart showing the per capita carbon dioxide emissions of EU countries in metric tons. The data primarily lies on the left side of the chart, with one symmetrical peak on the left, and one data point off to the far right.\" width=\"884\" height=\"392\" \/> <img class=\"alignnone wp-image-979\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185512\/Picture17-300x133.png\" alt=\"A bar chart showing the number of hours spent watching television per week in 2018. The data primarily lies on the far left of the chart, with a peak on the far left that steeply decreases as you move to the right. \" width=\"898\" height=\"398\" \/> <img class=\"alignnone wp-image-980\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185516\/Picture18-300x133.png\" alt=\"A bar chart showing the Average SAT scores for the 50 states. The data has two distinct peaks, with one trough separating the peaks. \" width=\"873\" height=\"387\" \/> <img class=\"alignnone wp-image-981\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185520\/Picture19-300x133.png\" alt=\"A bar graph shows the run time in minutes for G-rated movies. The data primarily lies in the center of the chart, with only a few data points off to the far left and right of the chart.\" width=\"902\" height=\"400\" \/> <img class=\"alignnone wp-image-982\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185526\/Picture20-215x300.jpg\" alt=\"A woman in a wheelchair holding a diploma in one hand and raising a graduation cap in the other. \" width=\"707\" height=\"987\" \/>\r\n\r\nGlossary\r\n<dl id=\"fs-id1170572229168\" class=\"definition\">\r\n \t<dt>observational units<\/dt>\r\n \t<dd id=\"fs-id1170572229174\">individuals or items whose characteristics we are interested in.<\/dd>\r\n<\/dl>\r\n<dl id=\"fs-id1170572229190\" class=\"definition\">\r\n \t<dt>variables<\/dt>\r\n \t<dd id=\"fs-id1170572229195\">the characteristics we record on the observational units. These may be quantitative or categorical variables.<\/dd>\r\n<\/dl>\r\n<\/div>\r\n<\/div>","rendered":"<div style=\"margin: auto;\">\n<table>\n<tbody>\n<tr>\n<td><strong>Major<\/strong><\/td>\n<td><strong>Major_category<\/strong><\/td>\n<td><strong>Median_salary<\/strong><\/td>\n<\/tr>\n<tr>\n<td>ACCOUNTING<\/td>\n<td>Business<\/td>\n<td>45000<\/td>\n<\/tr>\n<tr>\n<td>ACTUARIAL SCIENCE<\/td>\n<td>Business<\/td>\n<td>62000<\/td>\n<\/tr>\n<tr>\n<td>FINANCE<\/td>\n<td>Business<\/td>\n<td>47000<\/td>\n<\/tr>\n<tr>\n<td>GENERAL BUSINESS<\/td>\n<td>Business<\/td>\n<td>40000<\/td>\n<\/tr>\n<tr>\n<td>HOSPITALITY MANAGEMENT<\/td>\n<td>Business<\/td>\n<td>33000<\/td>\n<\/tr>\n<tr>\n<td>MARKETING AND MARKETING RESEARCH<\/td>\n<td>Business<\/td>\n<td>38000<\/td>\n<\/tr>\n<tr>\n<td>MISCELLANEOUS BUSINESS AND MEDICAL ADMINISTRATION<\/td>\n<td>Business<\/td>\n<td>40000<\/td>\n<\/tr>\n<tr>\n<td>OPERATIONS LOGISTICS AND E-COMMERCE<\/td>\n<td>Business<\/td>\n<td>50000<\/td>\n<\/tr>\n<tr>\n<td>AEROSPACE ENGINEERING<\/td>\n<td>Engineering<\/td>\n<td>60000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"text-align: left; margin: auto;\">\n<table>\n<tbody>\n<tr>\n<td>Skill or Concept: I can . . .<\/td>\n<td>Questions to check your understanding<\/td>\n<td>Rating<br \/>\nfrom 1 to 5<\/td>\n<\/tr>\n<tr>\n<td>Use technology to create a histogram or dotplot.<\/td>\n<td>1, 4<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Compare centers of distributions of a quantitative variable.<\/td>\n<td>2<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Compare spread in distributions of a quantitative variable.<\/td>\n<td>3, 6<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Describe the shape of the distribution of a quantitative variable.<\/td>\n<td>1, 4<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Determine the presence of outliers in the distribution of a quantitative variable.<\/td>\n<td>5<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-977\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185504\/Picture15-300x101.png\" alt=\"Two bar charts are shown. Chart A is labeled flipper length, with count on the y-axis and flipper length in millimeters on the x-axis. The data has two peaks, with one trough separating the peaks. Chart B is labeled Bill depth, with count on the y-axis and bill depth in millimeters on the x-axis. The data has multiple peaks, with small but fairly defined dips between each peak.\" width=\"894\" height=\"301\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-978\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185508\/Picture16-300x133.png\" alt=\"A bar chart showing the per capita carbon dioxide emissions of EU countries in metric tons. The data primarily lies on the left side of the chart, with one symmetrical peak on the left, and one data point off to the far right.\" width=\"884\" height=\"392\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-979\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185512\/Picture17-300x133.png\" alt=\"A bar chart showing the number of hours spent watching television per week in 2018. The data primarily lies on the far left of the chart, with a peak on the far left that steeply decreases as you move to the right.\" width=\"898\" height=\"398\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-980\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185516\/Picture18-300x133.png\" alt=\"A bar chart showing the Average SAT scores for the 50 states. The data has two distinct peaks, with one trough separating the peaks.\" width=\"873\" height=\"387\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-981\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185520\/Picture19-300x133.png\" alt=\"A bar graph shows the run time in minutes for G-rated movies. The data primarily lies in the center of the chart, with only a few data points off to the far left and right of the chart.\" width=\"902\" height=\"400\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-982\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/11185526\/Picture20-215x300.jpg\" alt=\"A woman in a wheelchair holding a diploma in one hand and raising a graduation cap in the other.\" width=\"707\" height=\"987\" \/><\/p>\n<p>Glossary<\/p>\n<dl id=\"fs-id1170572229168\" class=\"definition\">\n<dt>observational units<\/dt>\n<dd id=\"fs-id1170572229174\">individuals or items whose characteristics we are interested in.<\/dd>\n<\/dl>\n<dl id=\"fs-id1170572229190\" class=\"definition\">\n<dt>variables<\/dt>\n<dd id=\"fs-id1170572229195\">the characteristics we record on the observational units. These may be quantitative or categorical variables.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":5,"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-976","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/976","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":6,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/976\/revisions"}],"predecessor-version":[{"id":2805,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/976\/revisions\/2805"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/704"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/976\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=976"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=976"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=976"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=976"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}