{"id":188940,"date":"2025-02-08T08:58:13","date_gmt":"2025-02-08T08:58:13","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=188940"},"modified":"2025-02-08T08:58:15","modified_gmt":"2025-02-08T08:58:15","slug":"the-heights-of-women-follow-a-normal-distribution-with-a-mean-of-64-5-inches-and-a-standard-deviation-of-2-8-inches","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2025\/02\/08\/the-heights-of-women-follow-a-normal-distribution-with-a-mean-of-64-5-inches-and-a-standard-deviation-of-2-8-inches\/","title":{"rendered":"The heights of women follow a normal distribution with a mean of 64.5 inches and a standard deviation of 2.8 inches"},"content":{"rendered":"\n<p>The heights of women follow a normal distribution with a mean of 64.5 inches and a standard deviation of 2.8 inches. (a) (2 points) What percent of women are taller than 72 inches (6 feet)? <\/p>\n\n\n\n<p>(b) (4 points) From a SRS of 50 women, what is the probability that their mean height is between 60 inches and 72 inches?<\/p>\n\n\n\n<p><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ast-global-color-6-color\"><strong>The Correct Answer and Explanation is :<\/strong><\/mark><\/p>\n\n\n\n<p>To solve these questions, we&#8217;ll use properties of the normal distribution.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">(a) What percent of women are taller than 72 inches (6 feet)?<\/h3>\n\n\n\n<p>We are given:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mean height = 64.5 inches<\/li>\n\n\n\n<li>Standard deviation = 2.8 inches<\/li>\n<\/ul>\n\n\n\n<p>We need to find the probability that a randomly selected woman is taller than 72 inches. This can be done by calculating the Z-score for 72 inches and then finding the corresponding probability.<\/p>\n\n\n\n<p>The Z-score formula is:<\/p>\n\n\n\n<p>[<br>Z = \\frac{X &#8211; \\mu}{\\sigma}<br>]<\/p>\n\n\n\n<p>Where:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>( X ) is the value (72 inches),<\/li>\n\n\n\n<li>( \\mu ) is the mean (64.5 inches),<\/li>\n\n\n\n<li>( \\sigma ) is the standard deviation (2.8 inches).<\/li>\n<\/ul>\n\n\n\n<p>Substituting the given values:<\/p>\n\n\n\n<p>[<br>Z = \\frac{72 &#8211; 64.5}{2.8} = \\frac{7.5}{2.8} \\approx 2.68<br>]<\/p>\n\n\n\n<p>Now, we need to find the probability that a woman is taller than 72 inches. Using a standard normal distribution table or a Z-table, we look up the cumulative probability for a Z-score of 2.68. The cumulative probability for a Z-score of 2.68 is approximately 0.9963. This represents the probability of being <strong>less than<\/strong> 72 inches.<\/p>\n\n\n\n<p>To find the probability of being <strong>greater than<\/strong> 72 inches, we subtract this value from 1:<\/p>\n\n\n\n<p>[<br>P(X &gt; 72) = 1 &#8211; 0.9963 = 0.0037<br>]<\/p>\n\n\n\n<p>So, approximately <strong>0.37%<\/strong> of women are taller than 72 inches.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">(b) From a SRS (Simple Random Sample) of 50 women, what is the probability that their mean height is between 60 inches and 72 inches?<\/h3>\n\n\n\n<p>When we are dealing with a sample mean, we need to use the standard error of the mean (SEM). The formula for SEM is:<\/p>\n\n\n\n<p>[<br>\\text{SEM} = \\frac{\\sigma}{\\sqrt{n}}<br>]<\/p>\n\n\n\n<p>Where:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>( \\sigma ) is the population standard deviation (2.8 inches),<\/li>\n\n\n\n<li>( n ) is the sample size (50 women).<\/li>\n<\/ul>\n\n\n\n<p>Substituting the values:<\/p>\n\n\n\n<p>[<br>\\text{SEM} = \\frac{2.8}{\\sqrt{50}} \\approx \\frac{2.8}{7.071} \\approx 0.396<br>]<\/p>\n\n\n\n<p>Now, we want to find the probability that the sample mean height is between 60 and 72 inches. To do this, we first calculate the Z-scores for 60 and 72 inches using the formula:<\/p>\n\n\n\n<p>[<br>Z = \\frac{X &#8211; \\mu}{\\text{SEM}}<br>]<\/p>\n\n\n\n<p>For ( X = 60 ) inches:<\/p>\n\n\n\n<p>[<br>Z_1 = \\frac{60 &#8211; 64.5}{0.396} = \\frac{-4.5}{0.396} \\approx -11.36<br>]<\/p>\n\n\n\n<p>For ( X = 72 ) inches:<\/p>\n\n\n\n<p>[<br>Z_2 = \\frac{72 &#8211; 64.5}{0.396} = \\frac{7.5}{0.396} \\approx 18.94<br>]<\/p>\n\n\n\n<p>Both Z-scores are extremely extreme. The probability corresponding to a Z-score of -11.36 is essentially 0, and the probability for a Z-score of 18.94 is essentially 1. Therefore, the probability that the sample mean height is between 60 and 72 inches is approximately <strong>1<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Summary:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>(a)<\/strong> Approximately <strong>0.37%<\/strong> of women are taller than 72 inches.<\/li>\n\n\n\n<li><strong>(b)<\/strong> The probability that the mean height of a sample of 50 women is between 60 and 72 inches is essentially <strong>100%<\/strong> (or probability 1).<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The heights of women follow a normal distribution with a mean of 64.5 inches and a standard deviation of 2.8 inches. (a) (2 points) What percent of women are taller than 72 inches (6 feet)? (b) (4 points) From a SRS of 50 women, what is the probability that their mean height is between 60 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[25],"tags":[],"class_list":["post-188940","post","type-post","status-publish","format-standard","hentry","category-exams-certification"],"_links":{"self":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/188940","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/comments?post=188940"}],"version-history":[{"count":0,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/188940\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/media?parent=188940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/categories?post=188940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/tags?post=188940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}