{"id":2748,"date":"2021-07-15T11:47:39","date_gmt":"2021-07-15T11:47:39","guid":{"rendered":"https:\/\/ricovictor.com\/?p=2748"},"modified":"2021-07-15T11:56:44","modified_gmt":"2021-07-15T11:56:44","slug":"teorema-central-del-limite-en-c","status":"publish","type":"post","link":"https:\/\/ricovictor.com\/index.php\/2021\/07\/15\/teorema-central-del-limite-en-c\/","title":{"rendered":"TEOREMA CENTRAL DEL L\u00cdMITE EN C++"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2748\" class=\"elementor elementor-2748\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3828dd75 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3828dd75\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-790d5c4b\" data-id=\"790d5c4b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5a076825 elementor-widget elementor-widget-text-editor\" data-id=\"5a076825\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>El teorema central del l\u00edmite (TCL) es una teor\u00eda estad\u00edstica que establece que, dada una muestra aleatoria suficientemente grande de la poblaci\u00f3n, la distribuci\u00f3n de las medias muestrales seguir\u00e1 una distribuci\u00f3n normal.<\/strong><\/p><p>Por otra parte, este teorema afirma que conforme vamos aumentando el tama\u00f1o de la muestra, la media muestral se acercar\u00e1 a la media de la poblaci\u00f3n. Entonces, mediante el TCL seremos capaces de determinar la distribuci\u00f3n de la media muestral de una determinada poblaci\u00f3n con una varianza conocida. <strong>De manera que la distribuci\u00f3n seguir\u00e1 una distribuci\u00f3n normal si el tama\u00f1o de la muestra es lo suficientemente grande<\/strong>.Este mismo teorema fija como muestra grandes cuando su tama\u00f1o es mayor de 30.<\/p><p>En el siguiente video se propone y detalla un c\u00f3digo en C que genera series pertenecientes a la <b>distribuci\u00f3n normal de probabilidad<\/b>\u00a0(sin funci\u00f3n en C) de media y desviaci\u00f3n t\u00edpica prefijada para lo cual se utiliza el resultado del<b>\u00a0Teorema Central del L\u00edmite<\/b>\u00a0y la\u00a0<b>distribuci\u00f3n uniforme<\/b>\u00a0que proporciona C mediante funci\u00f3n propia.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d7e0121 elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"4d7e0121\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-hand-point-down\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-18e162a9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"18e162a9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-68e62004\" data-id=\"68e62004\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1e1a28f5 elementor-widget elementor-widget-video\" data-id=\"1e1a28f5\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=cmyBc0O68Y8&amp;t=736s&amp;fbclid=IwAR1jum6-ogUdDkyx3dGF5dqHqsKCDucnz-FpuwyMdRHFSd3WVU-LjcZaUKs&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>El teorema central del l\u00edmite (TCL) es una teor\u00eda estad\u00edstica que establece que, dada una muestra aleatoria suficientemente grande de la poblaci\u00f3n, la distribuci\u00f3n de las medias muestrales seguir\u00e1 una distribuci\u00f3n normal. Por otra parte, este teorema afirma que conforme vamos aumentando el tama\u00f1o de la muestra, la media muestral se acercar\u00e1 a la media &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/ricovictor.com\/index.php\/2021\/07\/15\/teorema-central-del-limite-en-c\/\"> <span class=\"screen-reader-text\">TEOREMA CENTRAL DEL L\u00cdMITE EN C++<\/span> Leer m\u00e1s &raquo;<\/a><\/p>\n","protected":false},"author":17,"featured_media":2750,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","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-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-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-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-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-gradient":""}},"footnotes":""},"categories":[2],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TEOREMA CENTRAL DEL L\u00cdMITE EN C++ - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ricovictor.com\/index.php\/2021\/07\/15\/teorema-central-del-limite-en-c\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TEOREMA CENTRAL DEL L\u00cdMITE EN C++ - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas\" \/>\n<meta property=\"og:description\" content=\"El teorema central del l\u00edmite (TCL) es una teor\u00eda estad\u00edstica que establece que, dada una muestra aleatoria suficientemente grande de la poblaci\u00f3n, la distribuci\u00f3n de las medias muestrales seguir\u00e1 una distribuci\u00f3n normal. Por otra parte, este teorema afirma que conforme vamos aumentando el tama\u00f1o de la muestra, la media muestral se acercar\u00e1 a la media &hellip; TEOREMA CENTRAL DEL L\u00cdMITE EN C++ Leer m\u00e1s &raquo;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ricovictor.com\/index.php\/2021\/07\/15\/teorema-central-del-limite-en-c\/\" \/>\n<meta property=\"og:site_name\" content=\"V\u00edctor A. 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