{"id":5615,"date":"2025-07-15T13:34:45","date_gmt":"2025-07-15T13:34:45","guid":{"rendered":"https:\/\/functiontranslator.com\/hypgeomdist\/"},"modified":"2021-02-26T09:56:44","modified_gmt":"2021-02-26T09:56:44","slug":"hypgeomdist","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/cs\/hypgeomdist\/","title":{"rendered":"HYPGEOMDIST"},"content":{"rendered":"

\u00davod do hypergeometrick\u00e9 distribuce<\/h2>\n

Hypergeometrick\u00e1 distribuce je u\u017eite\u010dn\u00fd n\u00e1stroj pro statistickou anal\u00fdzu, kter\u00fd umo\u017e\u0148uje ur\u010dit pravd\u011bpodobnost z\u00edsk\u00e1n\u00ed specifick\u00e9ho po\u010dtu \u00fasp\u011bch\u016f z pevn\u011b dan\u00e9ho mno\u017estv\u00ed \u00fasp\u011bch\u016f a ne\u00fasp\u011bch\u016f v populaci. Tato funkce je dostupn\u00e1 jak v Microsoft Excel, tak i v Google Sheets a je ide\u00e1ln\u00ed pro situace, kde doch\u00e1z\u00ed k vzorkov\u00e1n\u00ed bez n\u00e1hrady.<\/p>\n

Kde pou\u017e\u00edt hypergeometrickou distribuci<\/h2>\n

Hypergeometrick\u00e1 distribuce se typicky aplikuje v situac\u00edch, kdy je d\u016fle\u017eit\u00e9, \u017ee jednotky jsou vyb\u00edr\u00e1ny bez n\u00e1hrady \u2013 jako nap\u0159\u00edklad p\u0159i vyb\u00edr\u00e1n\u00ed karet z bal\u00ed\u010dku, kter\u00fd se neobnovuje. Je \u0161iroce vyu\u017e\u00edv\u00e1na ve v\u011bdeck\u00e9m v\u00fdzkumu, teorii her, demografick\u00fdch studi\u00edch a dal\u0161\u00edch oblastech.<\/p>\n

Syntaxe a pou\u017eit\u00ed<\/h2>\n

Syntaxe pro funkci HYPGEOM.DIST<\/code> v Excel a HYPGEOMDIST<\/code> v Google Sheets se li\u0161\u00ed v z\u00e1vislosti na platform\u011b. N\u00ed\u017ee je uvedena z\u00e1kladn\u00ed forma pro ob\u011b:<\/p>\n

 MS Excel (od verze 2010): HYPGEOM.DIST(x, n, M, N, kumulativn\u00ed)<\/code> Google Sheets: HYPGEOMDIST(\u00fasp\u011bch_vzorek, vzorek, \u00fasp\u011bch_populace, populace)<\/code> <\/pre>\n
    \n
  • x, \u00fasp\u011bch_vzorek<\/code>: Po\u010det \u00fasp\u011bch\u016f ve vzorku.<\/li>\n
  • n, vzorek<\/code>: Velikost vzorku.<\/li>\n
  • M, \u00fasp\u011bch_populace<\/code>: Po\u010det \u00fasp\u011bch\u016f v populaci.<\/li>\n
  • N, populace<\/code>: Celkov\u00e1 velikost populace.<\/li>\n
  • kumulativn\u00ed<\/code>: Logick\u00e1 hodnota (TRUE\/FALSE) ud\u00e1vaj\u00edc\u00ed, zda se m\u00e1 vypo\u010d\u00edtat kumulativn\u00ed distribu\u010dn\u00ed funkce.<\/li>\n<\/ul>\n
    P\u0159\u00edklady pou\u017eit\u00ed<\/h2>\n
    1. P\u0159\u00edklad: Karty v bal\u00ed\u010dku<\/h2>\n
    P\u0159edstavte si, \u017ee m\u00e1me bal\u00ed\u010dek 52 karet a chceme vypo\u010d\u00edtat pravd\u011bpodobnost, \u017ee z p\u011bti n\u00e1hodn\u011b vybran\u00fdch karet budou pr\u00e1v\u011b dv\u011b esa. P\u0159edpokl\u00e1d\u00e1me, \u017ee v bal\u00ed\u010dku je celkem \u010dty\u0159i esa.<\/p>\n
     =HYPGEOMDIST(2, 5, 4, 52)<\/code> <\/pre>\n
    Tento v\u00fdpo\u010det n\u00e1m poskytne p\u0159esnou pravd\u011bpodobnost, \u017ee ve vzorku p\u011bti karet budou pr\u00e1v\u011b dv\u011b esa.<\/p>\n
    2. P\u0159\u00edklad: Kontrola kvality<\/h2>\n
    P\u0159edpokl\u00e1dejme, \u017ee na v\u00fdrobn\u00ed lince je 1000 d\u00edl\u016f, z nich\u017e 60 je vadn\u00fdch. Chceme ur\u010dit pravd\u011bpodobnost, \u017ee p\u0159i kontrole 30 n\u00e1hodn\u011b vybran\u00fdch d\u00edl\u016f objev\u00edme p\u0159esn\u011b 5 vadn\u00fdch.<\/p>\n
     =HYPGEOM.DIST(5, 30, 60, 1000, FALSE)<\/code> <\/pre>\n
    Tento vzorec n\u00e1m umo\u017e\u0148uje odhadnout pravd\u011bpodobnost, \u017ee ve vzorku 30 d\u00edl\u016f najdeme pr\u00e1v\u011b p\u011bt vadn\u00fdch, co\u017e pom\u00e1h\u00e1 hodnotit rizika spojen\u00e1 s kvalitou v\u00fdroby.<\/p>\n
    Z\u00e1v\u011br<\/h2>\n
    Funkce hypergeometrick\u00e9 distribuce je cen\u011bn\u00fdm n\u00e1strojem pro kvantitativn\u00ed rozhodov\u00e1n\u00ed v situac\u00edch, kde je kl\u00ed\u010dov\u00fd v\u00fdb\u011br bez n\u00e1hrady. Umo\u017e\u0148uje n\u00e1m efektivn\u011b hodnotit a p\u0159edpov\u00eddat v\u00fdsledky v variabiln\u00edch sc\u00e9n\u00e1\u0159\u00edch. P\u0159esto\u017ee zahrnuje pom\u011brn\u011b slo\u017eit\u00e9 matematicko-statistick\u00e9 koncepty, je \u0161iroce dostupn\u00e1 a snadno pou\u017eiteln\u00e1 v n\u00e1stroj\u00edch jako MS Excel a Google Sheets.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Vr\u00e1t\u00ed hodnotu hypergeometrick\u00e9ho 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":[289],"tags":[],"class_list":["post-5615","post","type-post","status-publish","format-standard","hentry","category-kompatibilita"],"acf":[],"yoast_head":"\nFunkce HYPGEOMDIST v Excelu: jak funguje, primjeri kori\u0161tenja formule<\/title>\n<meta name=\"description\" content=\"Opis funkcije HYPGEOMDIST u Excelu i Google tablicama. 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