{"id":2617,"date":"2024-10-09T10:04:13","date_gmt":"2024-10-09T08:04:13","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&p=2617"},"modified":"2024-10-23T16:13:29","modified_gmt":"2024-10-23T14:13:29","slug":"06-multi-x","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/hu\/guide-dutilisateur\/06-multi-x\/","title":{"rendered":"Multi X"},"content":{"rendered":"

Ellistat Adatelemz\u00e9s <\/a>egy Multi X almen\u00fct k\u00edn\u00e1l, amely aktiv\u00e1l\u00f3dik, amint egy v\u00e1lasz \u00e9s t\u00f6bb X kiv\u00e1laszt\u00e1sra ker\u00fcl. Ez az almen\u00fc olyan eszk\u00f6z\u00f6ket tartalmaz, amelyek statisztikai bizony\u00edt\u00e9kot szolg\u00e1ltatnak az Y v\u00e1lasz \u00e9s t\u00f6bb X k\u00f6z\u00f6tti \u00f6sszef\u00fcgg\u00e9sr\u0151l.<\/p>\n\n\n\n

Az Ellistat adatelemz\u00e9s k\u00e9t eszk\u00f6zzel rendelkezik:<\/p>\n\n\n\n

\u21d2 Multivari<\/strong><\/p>\n\n\n\n

\u21d2 A BOB VS WOW<\/strong><\/p>\n\n\n\n

Ezeket az eszk\u00f6z\u00f6ket a k\u00f6vetkez\u0151 p\u00e9ld\u00e1kban mutatjuk be.<\/p>\n\n\n\n

A p\u00e9ld\u00e1kban haszn\u00e1lt adatk\u00e9szlet a k\u00f6vetkez\u0151 oldalon tal\u00e1lhat\u00f3:<\/p>\n\n\n\n

F\u00fcggetlen adatok \ud83c\uddfa\ud83c\uddf8\/ Donn\u00e9es ind\u00e9pendantes\ud83c\uddeb\ud83c\uddf7 <\/a><\/p>\n\n\n\n

P\u00e9lda 1: T\u00f6bbv\u00e1ltoz\u00f3s<\/h3>\n\n\n\n

La Multvari m\u00f3dszer<\/strong> a min\u0151s\u00e9gellen\u0151rz\u00e9sben \u00e9s a vari\u00e1ci\u00f3elemz\u00e9sben alkalmazott technika, amely az ipari folyamatokban vagy \u00f6sszetett rendszerekben a variabilit\u00e1s forr\u00e1sainak azonos\u00edt\u00e1s\u00e1ra szolg\u00e1l. Ez a m\u00f3dszer k\u00fcl\u00f6n\u00f6sen hat\u00e9kony a ciklikus adatok k\u00f6z\u00f6tti kapcsolatok eset\u00e9ben.<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n
    \n
  • A p\u00e9ld\u00e1ban az Y=\"Er\u0151\" t\u00f6bbv\u00e1ltoz\u00f3s \u00e9rt\u00e9k\u00e9t szeretn\u00e9nk \u00e1br\u00e1zolni t\u00f6bb X f\u00fcggv\u00e9ny\u00e9ben: X1=\"h\u0151m\u00e9rs\u00e9klet\", X2=\"sz\u00e1ll\u00edt\u00f3\" \u00e9s X3=\"h\u00f3nap\".<\/li>\n\n\n\n
  • Kattintson a men\u00fcre \"K\u00f6vetkeztet\u00e9si statisztika<\/strong>\".<\/li>\n\n\n\n
  • A 1. z\u00f3na<\/strong>v\u00e1lassza ki az Y oszlopot Y=\"Er\u0151\" \u00e9s az X oszlopokat X1=\"h\u0151m\u00e9rs\u00e9klet\", X2=\"sz\u00e1ll\u00edt\u00f3\" \u00e9s X3=\"h\u00f3nap\".<\/li>\n\n\n\n
  • A oldalon. 2. z\u00f3na,<\/strong> v\u00e1lassza ki az elemz\u00e9s t\u00edpus\u00e1t. Az alap\u00e9rtelmezett elemz\u00e9sek a t\u00f6bbv\u00e1ltoz\u00f3s \u00e9s a BOB vs WOW \ud83d\udcdd: v\u00e1lassza a \"BOB vs WOW\" lehet\u0151s\u00e9get.<\/li>\n\n\n\n
  • A oldalon. 3. z\u00f3na<\/strong>Az y-tengely az \"er\u0151ss\u00e9get\" mutatja, \u00e9s minden grafikon sz\u00edne egy X v\u00e1ltoz\u00f3t jel\u00f6l.<\/li>\n<\/ul>\n\n\n\n

    \ud83d\udca1 A kapott grafikonok a v\u00e1ltoz\u00f3k sorrendj\u00e9nek megv\u00e1ltoztat\u00e1s\u00e1val m\u00f3dos\u00edthat\u00f3k a k\u00f6vetkez\u0151 men\u00fck seg\u00edts\u00e9g\u00e9vel.<\/p>\n\n\n

    \n
    \"\"<\/figure>\n<\/div>\n\n\n

    P\u00e9lda 2: BOB vs WOW<\/h3>\n\n\n\n

    A BOB (best of the best) VS WOW (worst of the worst) m\u00f3dszer az Y v\u00e1laszt az \"X\" v\u00e1ltoz\u00f3k sz\u00e9ls\u0151 \u00e9rt\u00e9keinek f\u00fcggv\u00e9ny\u00e9ben hasonl\u00edtja \u00f6ssze. Ez megk\u00f6nny\u00edti az Y-t maximaliz\u00e1l\u00f3 vagy minimaliz\u00e1l\u00f3 optim\u00e1lis konfigur\u00e1ci\u00f3 megtal\u00e1l\u00e1s\u00e1t.<\/p>\n\n\n

    \n
    \"\"<\/figure>\n<\/div>\n\n\n
      \n
    • A p\u00e9ld\u00e1ban az Y=\"Er\u0151\" t\u00f6bbv\u00e1ltoz\u00f3s \u00e9rt\u00e9k\u00e9t szeretn\u00e9nk \u00e1br\u00e1zolni t\u00f6bb X f\u00fcggv\u00e9ny\u00e9ben: X1=\"h\u0151m\u00e9rs\u00e9klet\", X2=\"sz\u00e1ll\u00edt\u00f3\" \u00e9s X3=\"h\u00f3nap\".<\/li>\n\n\n\n
    • Kattintson a men\u00fcre \"K\u00f6vetkeztet\u00e9si statisztika<\/strong>\".<\/li>\n\n\n\n
    • A 1. z\u00f3na<\/strong>v\u00e1lassza ki az Y oszlopot Y=\"Er\u0151\" \u00e9s az X oszlopokat X1=\"h\u0151m\u00e9rs\u00e9klet\", X2=\"sz\u00e1ll\u00edt\u00f3\" \u00e9s X3=\"h\u00f3nap\".<\/li>\n\n\n\n
    • A oldalon. 2. z\u00f3na,<\/strong> v\u00e1lassza ki az elemz\u00e9s t\u00edpus\u00e1t. Az alap\u00e9rtelmezett elemz\u00e9sek a t\u00f6bbv\u00e1ltoz\u00f3s \u00e9s a BOB vs WOW \ud83d\udcdd: v\u00e1lassza a \"BOB vs WOW\" lehet\u0151s\u00e9get.<\/li>\n\n\n\n
    • A oldalon. 3. z\u00f3na<\/strong>megkapjuk a t\u00f6bbv\u00e1ltoz\u00f3s grafikont: az ordin\u00e1ta az \"er\u0151ss\u00e9get\" mutatja, \u00e9s minden grafikonsz\u00edn egy X v\u00e1ltoz\u00f3t jel\u00f6l.<\/li>\n<\/ul>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"menu-guide-dutilisateur":[23],"class_list":["post-2617","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-5-statistiques-inferentielles"],"acf":[],"yoast_head":"\nMulti X - Ellistat<\/title>\n<meta name=\"description\" content=\"Comment apporter la preuve statistique de la corr\u00e9lation entre une r\u00e9ponse Y et plusieurs X ? 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