{"id":5753,"date":"2025-07-15T13:34:45","date_gmt":"2025-07-15T13:34:45","guid":{"rendered":"https:\/\/functiontranslator.com\/poisson-dist\/"},"modified":"2021-02-26T10:01:40","modified_gmt":"2021-02-26T10:01:40","slug":"poisson-dist","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/cs\/poisson-dist\/","title":{"rendered":"POISSON.DIST"},"content":{"rendered":"

Jako u\u017eite\u010dn\u00fd n\u00e1stroj v Microsoft Excel a Google Sheets, funkce POISSON.DIST umo\u017e\u0148uje v\u00fdpo\u010det pravd\u011bpodobnosti ur\u010dit\u00e9ho po\u010dtu \u00fasp\u011bch\u016f nebo ud\u00e1lost\u00ed, ke kter\u00fdm dojde v pevn\u011b definovan\u00e9m \u010dasov\u00e9m intervalu p\u0159i pou\u017eit\u00ed Poissonova distribu\u010dn\u00edho modelu. Tento model je obvykle aplikov\u00e1n v p\u0159\u00edpadech, kdy pot\u0159ebujeme analyzovat pravd\u011bpodobnost vz\u00e1cn\u00fdch ud\u00e1lost\u00ed v rozs\u00e1hl\u00fdch datech.<\/p>\n

Syntaxe a definice<\/h2>\n

Syntaxe funkce je n\u00e1sleduj\u00edc\u00ed:<\/p>\n

POISSON.DIST(x, mean, cumulative)<\/code><\/pre>\n
    \n
  • x<\/code> – po\u010det ud\u00e1lost\u00ed, pro kter\u00fd chceme ur\u010dit pravd\u011bpodobnost.<\/li>\n
  • mean<\/code> – pr\u016fm\u011brn\u00fd o\u010dek\u00e1van\u00fd po\u010det ud\u00e1lost\u00ed v dan\u00e9m intervalu, ozna\u010dovan\u00fd jako lambda.<\/li>\n
  • cumulative<\/code> – logick\u00e1 hodnota specifikuj\u00edc\u00ed, zda v\u00fdsledek m\u00e1 b\u00fdt sou\u010dtem pravd\u011bpodobnost\u00ed (kdy\u017e je TRUE), nebo pravd\u011bpodobnost\u00ed konkr\u00e9tn\u00ed hodnoty (je-li FALSE).<\/li>\n<\/ul>\n
    P\u0159\u00edklad:<\/b><\/p>\n
    POISSON.DIST(5, 10, FALSE)<\/code><\/pre>\n
    Zde funkce vypo\u010dte pravd\u011bpodobnost, \u017ee dojde p\u0159esn\u011b k p\u011bti ud\u00e1lostem, kdy\u017e se o\u010dek\u00e1v\u00e1 pr\u016fm\u011brn\u011b 10 ud\u00e1lost\u00ed.<\/p>\n
    Pou\u017eit\u00ed ve skute\u010dn\u00fdch situac\u00edch<\/h2>\n
    1. Modelov\u00e1n\u00ed po\u010dtu hovor\u016f v call centru<\/p>\n
    P\u0159edpokl\u00e1dejme, \u017ee \u0159\u00edd\u00edte call centrum a m\u00e1te statistiky uv\u00e1d\u011bj\u00edc\u00ed \u017ee pr\u016fm\u011brn\u011b p\u0159ijmete 30 hovor\u016f za hodinu. Pomoc\u00ed funkce POISSON.DIST m\u016f\u017eete odhadnout pravd\u011bpodobnost, \u017ee za dal\u0161\u00ed hodinu dojde k p\u0159esn\u011b 25 hovor\u016f.<\/p>\n
    POISSON.DIST(25, 30, FALSE)<\/code><\/pre>\n
    2. Pl\u00e1nov\u00e1n\u00ed z\u00e1sobov\u00e1n\u00ed v maloobchod\u011b<\/p>\n
    Maloobchodn\u00edk m\u016f\u017ee pou\u017e\u00edt POISSON.DIST k v\u00fdpo\u010dtu optim\u00e1ln\u00edho mno\u017estv\u00ed produkt\u016f k objedn\u00e1n\u00ed, vych\u00e1zej\u00edc z pr\u016fm\u011bru 50 prodan\u00fdch polo\u017eek denn\u011b. Funkce m\u016f\u017ee nap\u0159\u00edklad pomoci ur\u010dit pravd\u011bpodobnost prodeje v\u00edce ne\u017e 60 polo\u017eek, co\u017e je d\u016fle\u017eit\u00e9 pro rozhodnut\u00ed o velikosti objedn\u00e1vky.<\/p>\n
    POISSON.DIST(60, 50, TRUE)<\/code><\/pre>\n
    Praktick\u00e9 aplikace funkce POISSON.DIST n\u00e1m tak poskytuj\u00ed hlub\u0161\u00ed porozum\u011bn\u00ed pravd\u011bpodobnostn\u00edmu modelov\u00e1n\u00ed v re\u00e1ln\u00fdch kontextech a pom\u00e1haj\u00ed p\u0159i rozhodov\u00e1n\u00ed zalo\u017een\u00e9m na datech.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Vr\u00e1t\u00ed hodnotu distribu\u010dn\u00ed funkce Poissonova rozd\u011blen\u00ed<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[287],"tags":[],"class_list":["post-5753","post","type-post","status-publish","format-standard","hentry","category-statisticke"],"acf":[],"yoast_head":"\nFunkce POISSON.DIST v Excelu: jak funguje, primjeri kori\u0161tenja formule<\/title>\n<meta name=\"description\" content=\"Opis funkcije POISSON.DIST u Excelu i Google tablicama. 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