{"id":89,"date":"2021-01-12T22:19:45","date_gmt":"2021-01-12T22:19:45","guid":{"rendered":"https:\/\/textbooks.jaykesler.net\/introstats\/part\/testing-multiple-proportions\/"},"modified":"2023-04-19T19:55:34","modified_gmt":"2023-04-19T19:55:34","slug":"testing-multiple-proportions","status":"publish","type":"part","link":"https:\/\/textbooks.jaykesler.net\/introstats\/part\/testing-multiple-proportions\/","title":{"rendered":"Testing Multiple Proportions"},"content":{"raw":"<span style=\"display: none;\">\r\n[latexpage]\r\n<\/span>\r\n<div id=\"6c29742a-166b-45b5-b303-317472ead41a\" class=\"introduction\" data-type=\"page\" data-cnxml-to-html-ver=\"2.1.0\">\r\n<div id=\"fs-idm45331472\" class=\"os-figure has-splash\">\r\n<figure class=\"splash\" data-id=\"fs-idm45331472\"><span id=\"CNX_Stats_C11_CO.jpg\" data-type=\"media\" data-alt=\"This is a photo of a pile of grocery store receipts. The items and prices are blurred.\">\r\n<img class=\"full-width\" size-medium wp-image-551\" src=\"https:\/\/textbooks.jaykesler.net\/introstats\/wp-content\/uploads\/sites\/2\/2021\/01\/382388e7ed12eda04e6ddffd84a4b9542fa20f14-300x200.jpg\" alt=\"This is a photo of a pile of grocery store receipts. The items and prices are blurred.\" width=100% \/>\r\n\r\n<\/span><\/figure>\r\n<div class=\"os-caption-container\"><span class=\"os-title-label\">Figure <\/span><span class=\"os-number\">11.1<\/span> <span class=\"os-caption\">The chi-square distribution can be used to find relationships between two things, like grocery prices at different stores. (credit: Pete\/flickr)<\/span><\/div>\r\n<\/div>\r\n<div id=\"fs-idm151065040\" class=\"chapter-objectives ui-has-child-title\" data-type=\"note\" data-has-label=\"true\" data-label=\"\"><header>\r\n<h3 class=\"os-title\" data-type=\"title\"><span class=\"os-title-label\">Chapter Objectives<\/span><\/h3>\r\n<\/header><section>\r\n<div class=\"os-note-body\">\r\n<p id=\"element-335\">By the end of this chapter, the student should be able to:<\/p>\r\n\r\n<ul id=\"element-377\" data-bullet-style=\"bullet\">\r\n \t<li>Interpret the chi-square probability distribution as the sample size\r\nchanges.<\/li>\r\n \t<li>Conduct and interpret chi-square goodness-of-fit hypothesis tests.<\/li>\r\n \t<li>Conduct and interpret chi-square test of independence hypothesis\r\ntests.<\/li>\r\n \t<li>Conduct and interpret chi-square homogeneity hypothesis tests.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/section><\/div>\r\n<p id=\"delete_me\">Have you ever wondered if lottery numbers were evenly distributed or if some numbers occurred with a greater frequency? How about if the types of movies people preferred were different across different age groups? What about if a coffee machine was dispensing approximately the same amount of coffee each time? You could answer these questions by conducting a hypothesis test.<\/p>\r\n<p id=\"element-8\">You will now study a new distribution, one that is used to determine the answers to such questions. This distribution is called the chi-square distribution.<\/p>\r\n<p id=\"element-213\">In this chapter, you will learn the three major applications of the chi-square distribution:<\/p>\r\n\r\n<ol id=\"list-9872341\">\r\n \t<li>the goodness-of-fit test, which determines if data fit a particular distribution, such as in the lottery example<\/li>\r\n \t<li>the test of independence, which determines if events are independent, such as in the movie example<\/li>\r\n \t<li>the test of a single variance, which tests variability, such as in the coffee example<\/li>\r\n<\/ol>\r\n<\/div>","rendered":"<p><span style=\"display: none;\"><br \/>\n[latexpage]<br \/>\n<\/span><\/p>\n<div id=\"6c29742a-166b-45b5-b303-317472ead41a\" class=\"introduction\" data-type=\"page\" data-cnxml-to-html-ver=\"2.1.0\">\n<div id=\"fs-idm45331472\" class=\"os-figure has-splash\">\n<figure class=\"splash\" data-id=\"fs-idm45331472\"><span id=\"CNX_Stats_C11_CO.jpg\" data-type=\"media\" data-alt=\"This is a photo of a pile of grocery store receipts. The items and prices are blurred.\"><br \/>\n<img decoding=\"async\" class=\"full-width\" src=\"https:\/\/textbooks.jaykesler.net\/introstats\/wp-content\/uploads\/sites\/2\/2021\/01\/382388e7ed12eda04e6ddffd84a4b9542fa20f14-300x200.jpg\" alt=\"This is a photo of a pile of grocery store receipts. The items and prices are blurred.\" width=\"100%\" \/><\/p>\n<p><\/span><\/figure>\n<div class=\"os-caption-container\"><span class=\"os-title-label\">Figure <\/span><span class=\"os-number\">11.1<\/span> <span class=\"os-caption\">The chi-square distribution can be used to find relationships between two things, like grocery prices at different stores. (credit: Pete\/flickr)<\/span><\/div>\n<\/div>\n<div id=\"fs-idm151065040\" class=\"chapter-objectives ui-has-child-title\" data-type=\"note\" data-has-label=\"true\" data-label=\"\">\n<header>\n<h3 class=\"os-title\" data-type=\"title\"><span class=\"os-title-label\">Chapter Objectives<\/span><\/h3>\n<\/header>\n<section>\n<div class=\"os-note-body\">\n<p id=\"element-335\">By the end of this chapter, the student should be able to:<\/p>\n<ul id=\"element-377\" data-bullet-style=\"bullet\">\n<li>Interpret the chi-square probability distribution as the sample size<br \/>\nchanges.<\/li>\n<li>Conduct and interpret chi-square goodness-of-fit hypothesis tests.<\/li>\n<li>Conduct and interpret chi-square test of independence hypothesis<br \/>\ntests.<\/li>\n<li>Conduct and interpret chi-square homogeneity hypothesis tests.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<\/div>\n<p id=\"delete_me\">Have you ever wondered if lottery numbers were evenly distributed or if some numbers occurred with a greater frequency? How about if the types of movies people preferred were different across different age groups? What about if a coffee machine was dispensing approximately the same amount of coffee each time? You could answer these questions by conducting a hypothesis test.<\/p>\n<p id=\"element-8\">You will now study a new distribution, one that is used to determine the answers to such questions. This distribution is called the chi-square distribution.<\/p>\n<p id=\"element-213\">In this chapter, you will learn the three major applications of the chi-square distribution:<\/p>\n<ol id=\"list-9872341\">\n<li>the goodness-of-fit test, which determines if data fit a particular distribution, such as in the lottery example<\/li>\n<li>the test of independence, which determines if events are independent, such as in the movie example<\/li>\n<li>the test of a single variance, which tests variability, such as in the coffee example<\/li>\n<\/ol>\n<\/div>\n","protected":false},"parent":0,"menu_order":10,"template":"","meta":{"pb_part_invisible":false},"contributor":[],"license":[],"class_list":["post-89","part","type-part","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/pressbooks\/v2\/parts\/89","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/pressbooks\/v2\/parts"}],"about":[{"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/wp\/v2\/types\/part"}],"version-history":[{"count":4,"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/pressbooks\/v2\/parts\/89\/revisions"}],"predecessor-version":[{"id":554,"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/pressbooks\/v2\/parts\/89\/revisions\/554"}],"wp:attachment":[{"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/wp\/v2\/media?parent=89"}],"wp:term":[{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/wp\/v2\/contributor?post=89"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/textbooks.jaykesler.net\/introstats\/wp-json\/wp\/v2\/license?post=89"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}