{"id":1325,"date":"2023-06-22T02:17:34","date_gmt":"2023-06-22T02:17:34","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/one-sample-hypothesis-test-for-means-apply-it-3\/"},"modified":"2025-05-16T22:24:44","modified_gmt":"2025-05-16T22:24:44","slug":"one-sample-hypothesis-test-for-means-apply-it-3","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/one-sample-hypothesis-test-for-means-apply-it-3\/","title":{"raw":"One-Sample Hypothesis Test for Means: Learn It 3","rendered":"One-Sample Hypothesis Test for Means: Learn It 3"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Complete a one-sample t-test for means from hypotheses to conclusions&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4609,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0,&quot;15&quot;:&quot;Calibri&quot;}\">Complete a one-sample [latex]t[\/latex]-test for means from hypotheses to conclusions.<\/span><\/li>\r\n<\/ul>\r\n<\/section>\r\n<section><iframe src=\"https:\/\/lumen-learning.shinyapps.io\/inference_mean\/ \" width=\"100%\" height=\"1075\" frameborder=\"no\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span><\/iframe><br \/>\r\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/inference_mean\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/section>\r\n<section class=\"textbox youChoose\">The following is a list of companies that have a large enough sample size to meet the conditions for a hypothesis test:\r\n\r\n<table style=\"height: 64px;\">\r\n<tbody>\r\n<tr style=\"height: 16px;\">\r\n<td style=\"height: 16px; width: 333.785px;\"><strong>Year 2020<\/strong><\/td>\r\n<\/tr>\r\n<tr style=\"height: 16px;\">\r\n<td style=\"height: 16px; width: 333.785px;\">Nestle<\/td>\r\n<\/tr>\r\n<tr style=\"height: 16px;\">\r\n<td style=\"height: 16px; width: 333.785px;\">Mondelez International<\/td>\r\n<\/tr>\r\n<tr style=\"height: 16px;\">\r\n<td style=\"height: 16px; width: 333.785px;\">Mars, Incorporated<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p class=\"para\">Use a significance level of 0.05. The variable that you will be focused on is the total plastic count found in various countries.<\/p>\r\n<p>Conduct a one-sample hypothesis test on the subset of data.<\/p>\r\n<p>[choosedataset divId=\"tnh-choose-dataset\" title=\"Choose Your Own Dataset\" label=\"Company\" default=\"Choose a Dataset\"]<br \/>\r\n[datasetoption]<br \/>\r\n[displayname]Nestle[\/displayname]<br \/>\r\n[ohmid]11105[\/ohmid]<br \/>\r\n[\/datasetoption][datasetoption]<br \/>\r\n[displayname]Mondelez International[\/displayname]<br \/>\r\n[ohmid]11107[\/ohmid]<br \/>\r\n[\/datasetoption][datasetoption]<br \/>\r\n[displayname]Mars, Incorporated[\/displayname]<br \/>\r\n[ohmid]11106[\/ohmid]<br \/>\r\n[\/datasetoption][\/choosedataset]<\/p>\r\n<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Complete a one-sample t-test for means from hypotheses to conclusions&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4609,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0,&quot;15&quot;:&quot;Calibri&quot;}\">Complete a one-sample [latex]t[\/latex]-test for means from hypotheses to conclusions.<\/span><\/li>\n<\/ul>\n<\/section>\n<section><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/inference_mean\/\" width=\"100%\" height=\"1075\" frameborder=\"no\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span><\/iframe><br \/>\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/inference_mean\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/section>\n<section class=\"textbox youChoose\">The following is a list of companies that have a large enough sample size to meet the conditions for a hypothesis test:<\/p>\n<table style=\"height: 64px;\">\n<tbody>\n<tr style=\"height: 16px;\">\n<td style=\"height: 16px; width: 333.785px;\"><strong>Year 2020<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 16px;\">\n<td style=\"height: 16px; width: 333.785px;\">Nestle<\/td>\n<\/tr>\n<tr style=\"height: 16px;\">\n<td style=\"height: 16px; width: 333.785px;\">Mondelez International<\/td>\n<\/tr>\n<tr style=\"height: 16px;\">\n<td style=\"height: 16px; width: 333.785px;\">Mars, Incorporated<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p class=\"para\">Use a significance level of 0.05. The variable that you will be focused on is the total plastic count found in various countries.<\/p>\n<p>Conduct a one-sample hypothesis test on the subset of data.<\/p>\n<div id=\"tnh-choose-dataset\" class=\"chooseDataset\">\n<h3>Choose Your Own Dataset<\/h3>\n<h4>Company<\/h4>\n<form><select name=\"dataset\"><option value=\"\">Choose a Dataset<\/option><option value=\"11105\">Nestle<\/option><option value=\"11107\">Mondelez International<\/option><option value=\"11106\">Mars, Incorporated<\/option><\/select><\/form>\n<div class=\"ohmContainer\"><\/div>\n<\/p><\/div>\n<\/section>\n","protected":false},"author":8,"menu_order":16,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":1309,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":[{"divId":"tnh-choose-dataset","title":"Choose Your Own Dataset","label":"Company","default":"Choose a Dataset","try_it_collection":[{"displayName":"Nestle","value":"11105"},{"displayName":"Mondelez International","value":"11107"},{"displayName":"Mars, Incorporated","value":"11106"}]}],"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1325"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/users\/8"}],"version-history":[{"count":9,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1325\/revisions"}],"predecessor-version":[{"id":6811,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1325\/revisions\/6811"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/1309"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1325\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=1325"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=1325"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=1325"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=1325"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}