{"id":2540,"date":"2024-10-09T09:06:11","date_gmt":"2024-10-09T07:06:11","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&#038;p=2540"},"modified":"2024-10-23T16:05:47","modified_gmt":"2024-10-23T14:05:47","slug":"03-leggi-discrete","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/it\/guide-dutilisateur\/03-lois-discretes\/","title":{"rendered":"Leggi discrete"},"content":{"rendered":"<p>La pagina <strong>leggi discrete<\/strong> modulo <a href=\"https:\/\/ellistat.com\/it\/soluzioni-per-lanalisi-dei-dati\/\">Analisi dei dati<\/a> mostra la rappresentazione teorica delle 3 distribuzioni principali o leggi discrete:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"563\" src=\"https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-1024x563.png\" alt=\"\" class=\"wp-image-2541\" srcset=\"https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-1024x563.png 1024w, https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-300x165.png 300w, https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-768x422.png 768w, https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-1536x844.png 1536w, https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34-18x10.png 18w, https:\/\/ellistat.com\/wp-content\/uploads\/Untitled-34.png 1720w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Leggi ipergeometriche:<\/h2>\n\n\n\n<p class=\"has-very-light-gray-background-color has-background\">\ud83d\udca1 Definizione: <a href=\"https:\/\/fr.wikipedia.org\/wiki\/Loi_hyperg%C3%A9om%C3%A9trique\">Legge ipergeometrica<\/a><\/p>\n\n\n\n<p>I parametri sono<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>N: numero totale di campioni<\/li>\n\n\n\n<li>D: Numero totale di guasti<\/li>\n\n\n\n<li>n: numero di campioni prelevati<\/li>\n\n\n\n<li>x: Numero di difetti campionati<\/li>\n\n\n\n<li>Probabilit\u00e0 cumulativa: Probabilit\u00e0 di campionare x difetti o meno<\/li>\n\n\n\n<li>D min: numero minimo di difetti nel campione totale (a 95%)<\/li>\n\n\n\n<li>D max: numero massimo di difetti nel campione totale (a 95%)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Leggi binomiali:<\/h2>\n\n\n\n<p class=\"has-very-light-gray-background-color has-background\">\ud83d\udca1 Definizione: <a href=\"https:\/\/fr.wikipedia.org\/wiki\/Loi_binomiale\">Legge binomiale<\/a><\/p>\n\n\n\n<p>I parametri sono<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>p: probabilit\u00e0 di inadempienza<\/li>\n\n\n\n<li>n: numero di campioni prelevati<\/li>\n\n\n\n<li>x: Numero di difetti campionati<\/li>\n\n\n\n<li>Probabilit\u00e0 cumulativa: Probabilit\u00e0 di campionare x difetti o meno<\/li>\n\n\n\n<li>p min: probabilit\u00e0 minima di default (a 95%)<\/li>\n\n\n\n<li>p max: probabilit\u00e0 massima di default (a 95%)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Leggi sul pesce :<\/h2>\n\n\n\n<p class=\"has-very-light-gray-background-color has-background\">\ud83d\udca1 Definizione: <a href=\"https:\/\/fr.wikipedia.org\/wiki\/Loi_de_Poisson\">Legge di Poisson<\/a><\/p>\n\n\n\n<p>I parametri sono<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>lambda: parametro lambda della distribuzione di Poisson<\/li>\n\n\n\n<li>x: Numero di difetti campionati<\/li>\n\n\n\n<li>Probabilit\u00e0 cumulativa: Probabilit\u00e0 di campionare x difetti o meno<\/li>\n\n\n\n<li>lambda min: lambda minimo (a 95%)<\/li>\n\n\n\n<li>lambda max: lambda massimo (a 95%)<\/li>\n<\/ul>\n\n\n\n<p><\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"menu-guide-dutilisateur":[22],"class_list":["post-2540","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-4-statistiques-descriptives"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lois discr\u00e8tes - Ellistat<\/title>\n<meta name=\"description\" content=\"Comment repr\u00e9senter les lois discr\u00e8tes ? 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