{"id":262019,"date":"2025-02-04T06:30:00","date_gmt":"2025-02-04T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=262019"},"modified":"2025-01-31T21:54:08","modified_gmt":"2025-01-31T21:54:08","slug":"test-de-friedman-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/test-de-friedman-tout-savoir","title":{"rendered":"Test de Friedman : Qu&rsquo;est-ce que c&rsquo;est ? Comment l&rsquo;utiliser ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"262019\" class=\"elementor elementor-262019\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ecb68a3 e-flex e-con-boxed e-con\" data-id=\"ecb68a3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-43b8f4d elementor-widget elementor-widget-text-editor\" data-id=\"43b8f4d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Lorsqu\u2019on cherche \u00e0 \u00e9tablir une comparaison sur un \u00e9chantillon de petite taille, afin de faire ressortir des donn\u00e9es comme les pr\u00e9f\u00e9rences consommateur ou l\u2019efficacit\u00e9 relative de plusieurs traitements, le test de Friedman appara\u00eet comme la solution ad\u00e9quate.<\/b><\/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-d48bdac elementor-widget elementor-widget-text-editor\" data-id=\"d48bdac\" 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><span style=\"font-weight: 400;\">Le test de Friedman est une m\u00e9thode statistique que l\u2019on peut utiliser pour comparer plusieurs \u00e9chantillons appari\u00e9s ou observations r\u00e9p\u00e9t\u00e9es. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-311f44f e-flex e-con-boxed e-con\" data-id=\"311f44f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8a260f6 elementor-widget elementor-widget-heading\" data-id=\"8a260f6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Qu'est-ce que le test de Friedman ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a59a980 elementor-widget elementor-widget-text-editor\" data-id=\"a59a980\" 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>Le test de Friedman est <b>une m\u00e9thode statistique non param\u00e9trique<\/b> utilis\u00e9e pour comparer plusieurs \u00e9chantillons appari\u00e9s ou des observations r\u00e9p\u00e9t\u00e9es. Il est particuli\u00e8rement utile lorsque les conditions n\u00e9cessaires pour effectuer une <strong><a href=\"https:\/\/datascientest.com\/analyse-de-la-variance-anova\">ANOVA<\/a><\/strong> \u00e0 mesures r\u00e9p\u00e9t\u00e9es ne sont pas remplies, notamment lorsque les donn\u00e9es ne suivent pas une distribution normale ou lorsque la taille de l\u2019\u00e9chantillon est trop petite pour faire des hypoth\u00e8ses sur la normalit\u00e9.<\/p><p>Cette m\u00e9thode se base sur les rangs attribu\u00e9s aux donn\u00e9es plut\u00f4t que sur les valeurs elles-m\u00eames, ce qui la rend robuste face aux valeurs extr\u00eames ou aux distributions asym\u00e9triques. Elle est donc fr\u00e9quemment employ\u00e9e dans des \u00e9tudes exp\u00e9rimentales o\u00f9 plusieurs traitements ou conditions sont appliqu\u00e9s aux m\u00eames sujets, comme dans le domaine m\u00e9dical, psychologique ou \u00e9ducatif.<\/p><h3>Exemple pratique :<\/h3><p>Supposons qu\u2019un chercheur souhaite \u00e9valuer l\u2019efficacit\u00e9 de trois m\u00e9thodes p\u00e9dagogiques (A, B et C) pour am\u00e9liorer les performances d&rsquo;un groupe d\u2019\u00e9l\u00e8ves. Chaque \u00e9l\u00e8ve est soumis aux trois m\u00e9thodes dans un ordre al\u00e9atoire, et leurs r\u00e9sultats sont mesur\u00e9s apr\u00e8s chaque session.<\/p><p>En utilisant le test de Friedman, le chercheur peut comparer les r\u00e9sultats obtenus sous chaque m\u00e9thode pour d\u00e9terminer s&rsquo;il existe une diff\u00e9rence significative dans les performances des \u00e9l\u00e8ves en fonction de la m\u00e9thode appliqu\u00e9e. Contrairement \u00e0 un simple test de moyenne, le test de Friedman permet de prendre en compte les variations individuelles, car chaque \u00e9l\u00e8ve sert de \u00ab\u00a0contr\u00f4le\u00a0\u00bb pour lui-m\u00eame.<\/p><h3>Un autre exemple :<\/h3><p>Dans le cadre d&rsquo;une \u00e9tude m\u00e9dicale, un test est r\u00e9alis\u00e9 pour comparer l&rsquo;efficacit\u00e9 de trois m\u00e9dicaments sur des patients souffrant de migraines chroniques. Chaque patient re\u00e7oit les trois traitements \u00e0 des moments diff\u00e9rents, et l\u2019intensit\u00e9 de leurs douleurs est enregistr\u00e9e apr\u00e8s chaque traitement. Ici encore, le test de Friedman permettra de d\u00e9terminer si l&rsquo;un des m\u00e9dicaments est significativement plus efficace que les autres, tout en tenant compte des diff\u00e9rences interindividuelles.<\/p><p>En r\u00e9sum\u00e9, le test de Friedman est un outil pr\u00e9cieux pour analyser des donn\u00e9es r\u00e9p\u00e9t\u00e9es ou corr\u00e9l\u00e9es, particuli\u00e8rement lorsque les hypoth\u00e8ses de normalit\u00e9 sont remises en question.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a9cdab1 e-flex e-con-boxed e-con\" data-id=\"a9cdab1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-268a345 elementor-widget elementor-widget-heading\" data-id=\"268a345\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quand appliquer le test de Friedman ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c984e5b elementor-widget elementor-widget-text-editor\" data-id=\"c984e5b\" 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><span style=\"font-weight: 400;\">Deux facteurs justifient l\u2019usage du test de Friedman.<\/span><\/p><ul><li><span style=\"font-weight: 400;\"><strong>Des donn\u00e9es non param\u00e9triques<\/strong> : elles n\u2019ont pas \u00e0 suivre une distribution normale. On parle de distribution normale (ou courbe en cloche) lorsque la majorit\u00e9 des valeurs sont proches de la moyenne. Par exemple, si l\u2019on mesure la taille de 1 000 adultes, on peut s\u2019attendre \u00e0 ce que la plupart oscillent autour de 1,70 m. Dans un tel cas, on utiliserait plut\u00f4t <a href=\"https:\/\/datascientest.com\/analyse-de-la-variance-anova\">un test comme l\u2019ANOVA<\/a>.<\/span><\/li><li><span style=\"font-weight: 400;\"><strong>Des donn\u00e9es appari\u00e9es<\/strong> : on compare deux (et donc une paire, mais ce peut \u00eatre davantage) groupes de participants sur un test donn\u00e9. Ils sont soumis aux m\u00eames \u00e9valuations, par exemple sur des boissons, des granules hom\u00e9opathiques&#8230; Des mesures r\u00e9p\u00e9t\u00e9es sont effectu\u00e9es sur les m\u00eames sujets \u2013 ou objets.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef40091 elementor-widget elementor-widget-image\" data-id=\"ef40091\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-1.webp\" class=\"attachment-full size-full wp-image-262052\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-1.webp 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-1-300x171.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-1-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b35f5b7 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"b35f5b7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprendre \u00e0 utiliser le test de Friedman<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b638b4 elementor-widget elementor-widget-text-editor\" data-id=\"3b638b4\" 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><span style=\"font-weight: 400;\">Ce que l\u2019on retire du test de Friedman, ce sont des <strong>classements<\/strong> ou des <strong>notes<\/strong>. Du fait qu\u2019il peut \u00eatre appliqu\u00e9 \u00e0 des donn\u00e9es non param\u00e9triques, et qu\u2019<strong>il offre davantage de degr\u00e9s de libert\u00e9<\/strong>, le test de Friedman est plus flexible que le test ANOVA.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-007e24a e-flex e-con-boxed e-con\" data-id=\"007e24a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58eb5e1 elementor-widget elementor-widget-heading\" data-id=\"58eb5e1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Exemples d\u2019usages du test de Friedman<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c02760f elementor-widget elementor-widget-text-editor\" data-id=\"c02760f\" 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><span style=\"font-weight: 400;\">Le test de Friedman peut servir \u00e0 \u00e9valuer plusieurs options sur les m\u00eames personnes, objets ou situation et de ce fait, il est applicable dans des secteurs tr\u00e8s divers.<\/span><\/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-7b2c8bf elementor-widget elementor-widget-text-editor\" data-id=\"7b2c8bf\" 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<h4><b><span style=\"font-size: large;\">Recherche scientifique ou m\u00e9dicale<\/span><\/b><\/h4><p><span style=\"font-weight: 400;\">Des chercheurs en biologie peuvent \u00e9valuer l\u2019efficacit\u00e9 de plusieurs traitements sur les m\u00eames patients.<\/span><\/p><h4><b><span style=\"font-size: large;\">Marketing<\/span><\/b><\/h4><p><span style=\"font-weight: 400;\">Un panel de consommateur compare les qualit\u00e9s de 3 prototypes de smartphones ou de 3 saveurs de glace.<\/span><\/p><h4><b><span style=\"font-size: large;\">Education&lt;\/font<\/span><\/b><\/h4><p><span style=\"font-weight: 400;\">Plusieurs m\u00e9thodes d\u2019enseignement sont test\u00e9es sur les m\u00eames \u00e9l\u00e8ves.<\/span><\/p><h4><b><span style=\"font-size: large;\">Sport<\/span><\/b><\/h4><p><span style=\"font-weight: 400;\">L\u2019efficacit\u00e9 d\u2019exercices physiques est compar\u00e9e sur plusieurs athl\u00e8tes.<\/span><\/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-0311053 elementor-widget elementor-widget-image\" data-id=\"0311053\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-2.webp\" class=\"attachment-full size-full wp-image-262056\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-2.webp 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-2-300x171.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/01\/friedman-test-datascientest-2-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5346432 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5346432\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Ma\u00eetriser les tests statistiques<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-946d6cb e-flex e-con-boxed e-con\" data-id=\"946d6cb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d7bc6ab elementor-widget elementor-widget-heading\" data-id=\"d7bc6ab\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Ce que l\u2019on cherche \u00e0 obtenir avec le test de Friedman<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2da2d4 elementor-widget elementor-widget-text-editor\" data-id=\"f2da2d4\" 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><span style=\"font-weight: 400;\">Si nous reprenons les exemples \u00e9voqu\u00e9s ci-dessus, nous obtenons des r\u00e9sultats concrets dans chaque cas de figure.<\/span><\/p><ul><li><span style=\"font-weight: 400;\">Un traitement particulier est jug\u00e9 plus efficace que les autres,<\/span><\/li><li><span style=\"font-weight: 400;\">Les consommateurs \u00e9tablissent un classement des glaces ou des smartphones test\u00e9s,<\/span><\/li><li><span style=\"font-weight: 400;\">Deux des m\u00e9thodes d\u2019enseignement produisent de meilleurs r\u00e9sultats que les autres.<\/span><\/li><li><span style=\"font-weight: 400;\">Un exercice physique pr\u00e9cis am\u00e9liore notablement le tonus des athl\u00e8tes.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a38f26c e-flex e-con-boxed e-con\" data-id=\"a38f26c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7581b8b elementor-widget elementor-widget-heading\" data-id=\"7581b8b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Classer et comparer<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10c7123 elementor-widget elementor-widget-text-editor\" data-id=\"10c7123\" 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><span style=\"font-weight: 400;\">Ainsi donc, le test de Friedman <strong>aide \u00e0 d\u00e9couvrir si une option est meilleure ou particuli\u00e8rement diff\u00e9rente<\/strong> des autres et il peut \u00eatre appliqu\u00e9 \u00e0 des \u00e9chantillons de petite taille, l\u00e0 o\u00f9 le test ANOVA suppose une distribution normale sur de grands \u00e9chantillons.<\/span><\/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-2a19b1e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"2a19b1e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Se former avec DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5d9ecc5 e-flex e-con-boxed e-con\" data-id=\"5d9ecc5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4c12e8c elementor-widget elementor-widget-html\" data-id=\"4c12e8c\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Qu'est-ce que le test de Friedman ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Le test de Friedman est un test statistique non param\u00e9trique utilis\u00e9 pour comparer plusieurs \u00e9chantillons d\u00e9pendants. Il permet d'\u00e9valuer si les rangs moyens de plusieurs groupes sont significativement diff\u00e9rents.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quand utiliser le test de Friedman ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Le test de Friedman est utilis\u00e9 lorsqu'on souhaite comparer trois ou plus de trois groupes de donn\u00e9es d\u00e9pendantes, comme des mesures r\u00e9p\u00e9t\u00e9es sur les m\u00eames sujets, et que les conditions de normalit\u00e9 ne sont pas respect\u00e9es.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Comment interpr\u00e9ter les r\u00e9sultats du test de Friedman ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Si le r\u00e9sultat du test est significatif (p-value < seuil choisi, g\u00e9n\u00e9ralement 0,05), cela indique qu'il existe des diff\u00e9rences significatives entre les groupes. Des tests post-hoc peuvent ensuite \u00eatre utilis\u00e9s pour identifier quels groupes diff\u00e8rent.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quelle est la diff\u00e9rence entre le test de Friedman et l'ANOVA \u00e0 mesures r\u00e9p\u00e9t\u00e9es ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Le test de Friedman est une alternative non param\u00e9trique \u00e0 l'ANOVA \u00e0 mesures r\u00e9p\u00e9t\u00e9es. Il est utilis\u00e9 lorsque les donn\u00e9es ne suivent pas une distribution normale ou lorsque les hypoth\u00e8ses de l'ANOVA ne sont pas respect\u00e9es.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Lorsqu\u2019on cherche \u00e0 \u00e9tablir une comparaison sur un \u00e9chantillon de petite taille, afin de faire ressortir des donn\u00e9es comme les pr\u00e9f\u00e9rences consommateur ou l\u2019efficacit\u00e9 relative de plusieurs traitements, le test de Friedman appara\u00eet comme la solution ad\u00e9quate. Le test de Friedman est une m\u00e9thode statistique que l\u2019on peut utiliser pour comparer plusieurs \u00e9chantillons appari\u00e9s ou [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":262031,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Test de Friedman : Qu&#039;est-ce que c&#039;est ? Comment l&#039;utiliser ?<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez le Test de Friedman, une m\u00e9thode statistique non param\u00e9trique pour comparer des donn\u00e9es d\u00e9pendantes. 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