{"id":6435,"date":"2025-07-15T13:34:48","date_gmt":"2025-07-15T13:34:48","guid":{"rendered":"https:\/\/functiontranslator.com\/loi-khideux-droite\/"},"modified":"2021-02-26T08:03:03","modified_gmt":"2021-02-26T08:03:03","slug":"chisq-dist-rt","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/fr\/chisq-dist-rt\/","title":{"rendered":"LOI.KHIDEUX.DROITE"},"content":{"rendered":"

Dans cet article, nous examinons les fonctions CHISQ.DIST.RT<\/strong> de Microsoft Excel et LOI.KHIDEUX.DROITE<\/strong> de Google Sheets. Ces fonctions calculent la distribution \u00e0 droite du Chi-deux, un outil crucial pour les tests d’hypoth\u00e8se en statistique, notamment pour \u00e9valuer la variance des donn\u00e9es.<\/p>\n

Description et syntaxe de la fonction<\/h2>\n

La fonction CHISQ.DIST.RT<\/strong> d’Excel est utilis\u00e9e pour obtenir la probabilit\u00e9 qu’une valeur observ\u00e9e d\u00e9passe celle de la statistique chi-deux calcul\u00e9e. Sa syntaxe est la suivante :<\/p>\n

=CHISQ.DIST.RT(x, degrees_freedom)<\/code><\/pre>\n
O\u00f9 :<\/p>\n
    \n
  • x<\/strong> : la valeur observ\u00e9e pour la statistique chi-deux.<\/li>\n
  • degrees_freedom<\/strong> : le nombre de degr\u00e9s de libert\u00e9 de la distribution.<\/li>\n<\/ul>\n
    Sur Google Sheets, la fonction correspondante, LOI.KHIDEUX.DROITE<\/strong>, poss\u00e8de une syntaxe analogue :<\/p>\n
    =LOI.KHIDEUX.DROITE(x; degrees_freedom)<\/code><\/pre>\n
    Exemples d’utilisation<\/h2>\n
    L’utilisation basique de cette fonction peut \u00eatre illustr\u00e9e par les exemples suivants :<\/p>\n
    # Dans Excel =CHISQ.DIST.RT(10, 5) # R\u00e9sultat: probabilit\u00e9 P(X > 10) pour une distribution chi-deux avec 5 degr\u00e9s de libert\u00e9 # Dans Google Sheets =LOI.KHIDEUX.DROITE(10; 5) # Identique \u00e0 Excel, utilisant les sp\u00e9cificit\u00e9s syntaxiques de Google Sheets<\/code><\/pre>\n
    Sc\u00e9narios pratiques d\u2019utilisation<\/h2>\n
    Sc\u00e9nario 1 : Test d’ajustement du chi-carr\u00e9<\/strong><\/p>\n
    Consid\u00e9rons un biologiste analysant la r\u00e9partition des types de fleurs dans son jardin par rapport \u00e0 une distribution attendue :<\/p>\n\n\n\n\n\n
    Type de fleur<\/td>\nObserv\u00e9<\/td>\nAttendu<\/td>\n<\/tr>\n
    Rouge<\/td>\n30<\/td>\n25<\/td>\n<\/tr>\n
    Bleu<\/td>\n15<\/td>\n20<\/td>\n<\/tr>\n
    Vert<\/td>\n10<\/td>\n15<\/td>\n<\/tr>\n<\/table>\n
    Chi-carr\u00e9 = \u03a3[(Observ\u00e9 - Attendu)^2 \/ Attendu] = (30-25)^2\/25 + (15-20)^2\/20 + (10-15)^2\/15 = 2.6<\/code><\/pre>\n
    La p-valeur peut \u00eatre calcul\u00e9e ainsi :<\/p>\n
    # Dans Excel =CHISQ.DIST.RT(2.6, 2) # Dans Google Sheets =LOI.KHIDEUX.DROITE(2.6; 2)<\/code><\/pre>\n
    Si la p-valeur est inf\u00e9rieure \u00e0 0.05, le biologiste pourrait rejeter l’hypoth\u00e8se que la distribution observ\u00e9e correspond \u00e0 la distribution attendue.<\/p>\n
    Sc\u00e9nario 2 : Test d’ind\u00e9pendance<\/strong><\/p>\n
    Un chercheur en \u00e9ducation examine si la performance acad\u00e9mique des \u00e9tudiants varie selon leur sp\u00e9cialit\u00e9 :<\/p>\n\n\n\n\n
    Majeure<\/td>\nPerformance haute<\/td>\nPerformance basse<\/td>\n<\/tr>\n
    Science<\/td>\n35<\/td>\n15<\/td>\n<\/tr>\n
    Arts<\/td>\n20<\/td>\n30<\/td>\n<\/tr>\n<\/table>\n
    Chi-carr\u00e9 = (35-32.5)^2\/32.5 + (15-17.5)^2\/17.5 + (20-22.5)^2\/22.5 + (30-27.5)^2\/27.5 = 2.15<\/code><\/pre>\n
    La p-valeur associ\u00e9e peut \u00eatre estim\u00e9e en utilisant :<\/p>\n
    # Dans Excel =CHISQ.DIST.RT(2.15, 1) # Dans Google Sheets =LOI.KHIDEUX.DROITE(2.15; 1)<\/code><\/pre>\n
    Cette p-valeur permettra de d\u00e9terminer si la performance acad\u00e9mique est ind\u00e9pendante de la sp\u00e9cialit\u00e9 des \u00e9tudiants.<\/p>\n
    En r\u00e9sum\u00e9, les fonctions CHISQ.DIST.RT dans Excel et LOI.KHIDEUX.DROITE dans Google Sheets sont indispensables pour r\u00e9aliser des tests statistiques impliquant la distribution chi-deux, facilitant l’\u00e9valuation de l’ind\u00e9pendance ou de la conformit\u00e9 aux distributions.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Renvoie la pRobabilit\u00e9 unilat\u00e9Rale de la distRibution khi-deux<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[315],"tags":[],"class_list":["post-6435","post","type-post","status-publish","format-standard","hentry","category-statistiques"],"acf":[],"yoast_head":"\nFonction CHISQ.DIST.RT (LOI.KHIDEUX.DROITE) dans Excel : comment \u00e7a marche, exemples et syntaxe<\/title>\n<meta name=\"description\" content=\"Pr\u00e9sentation de la fonction CHISQ.DIST.RT (LOI.KHIDEUX.DROITE) d\u2019Excel et Google Sheets. 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