\u0130statistik ve veri analizi, \u00f6zellikle Excel ve Google E-Tablolar’\u0131n da devreye girdi\u011fi modern i\u015f d\u00fcnyas\u0131nda b\u00fcy\u00fck bir \u00f6neme sahiptir. Bu kontekste, NORM.INV (NORM.TERS)<\/strong> i\u015flevi, normal da\u011f\u0131l\u0131m\u0131n \u00f6nemli bir eleman\u0131 olarak kar\u015f\u0131m\u0131za \u00e7\u0131kar. Bu i\u015flev, istenilen k\u00fcm\u00fclatif da\u011f\u0131l\u0131m olas\u0131l\u0131\u011f\u0131na g\u00f6re belirlenen bir normal da\u011f\u0131l\u0131m i\u00e7in olas\u0131 de\u011feri (tersini) hesaplar.<\/p>\n NORM.INV<\/strong> i\u015flevi, belirli bir olas\u0131l\u0131k de\u011ferine denk gelen Z skorunu (standart normal da\u011f\u0131l\u0131m de\u011feri) verir. Bu i\u015flev Microsoft Excel ve Google E-Tablolar’da benzer \u015fekilde \u00e7al\u0131\u015fmaktad\u0131r.<\/p>\n \u00d6rnek:<\/strong> Bir \u015firket, sat\u0131\u015f performans\u0131n\u0131 de\u011ferlendirirken, \u00fcst %10’luk dilimi \u00f6d\u00fcllendirmeyi planlamaktad\u0131r. Ortalama sat\u0131\u015f 500 birim ve standart sapma 100 birim ise, %90 olas\u0131l\u0131kla ula\u015f\u0131lmas\u0131 gereken sat\u0131\u015f hedefi ne olacakt\u0131r:<\/p>\n Bu form\u00fcl, sat\u0131\u015f hedefinin yakla\u015f\u0131k olarak 612 birim olmas\u0131 gerekti\u011fini g\u00f6sterir.<\/p>\n NORM.INV fonksiyonunun pratikte kullan\u0131m alanlar\u0131 olduk\u00e7a geni\u015ftir. \u0130\u015fte bunlardan birka\u00e7\u0131:<\/p>\n Finans sekt\u00f6r\u00fcnde risk y\u00f6netimi, portf\u00f6y y\u00f6netiminin ayr\u0131lmaz bir par\u00e7as\u0131d\u0131r. NORM.INV i\u015flevi, belirli bir g\u00fcven aral\u0131\u011f\u0131nda maksimum kayb\u0131 (Value at Risk) hesaplamak i\u00e7in kullan\u0131labilir.<\/p>\n \u00dcretim planlamas\u0131 ve envanter y\u00f6netimi i\u00e7in \u00fcr\u00fcn talebinin do\u011fru tahmin edilmesi kritik \u00f6neme sahiptir. NORM.INV i\u015flevi, belirli bir olas\u0131l\u0131kla maksimum talep miktar\u0131n\u0131 belirlemek i\u00e7in kullan\u0131labilir.<\/p>\n Her iki \u00f6rnekte de g\u00f6rd\u00fc\u011f\u00fcn\u00fcz gibi, NORM.INV i\u015flevi, \u00e7e\u015fitli senaryolarda karar verme s\u00fcre\u00e7lerinde etkin bir ara\u00e7 olarak kullan\u0131labilir. \u0130htiya\u00e7 duydu\u011funuz belirli olas\u0131l\u0131klara g\u00f6re \u00e7e\u015fitli sonu\u00e7lar elde etmek i\u00e7in parametreleri de\u011fi\u015ftirebilirsiniz.<\/p>\n","protected":false},"excerpt":{"rendered":" Normal k\u00fcm\u00fclatif da\u011f\u0131l\u0131m\u0131n tersini verir<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[584],"tags":[],"class_list":["post-15557","post","type-post","status-publish","format-standard","hentry","category-uyumluluk"],"acf":[],"yoast_head":"\nNORM.INV \u0130\u015flevinin S\u00f6zdizimi ve \u00d6rnek Kullan\u0131m\u0131<\/h2>\n
Syntax: NORM.INV(probability, mean, standard_dev)<\/code> <\/pre>\n\n
=NORM.INV(0.90, 500, 100)<\/code> <\/pre>\nPratik Uygulamalar\u0131<\/h2>\n
Finansal Risk Y\u00f6netimi<\/h3>\n
\u00d6rnek Kullan\u0131m: Portf\u00f6y\u00fcn ortalamas\u0131 2 milyon TL ve standart sapmas\u0131 300 bin TL ise; = NORM.INV(0.95, 2000000, 300000) Bu hesaplama, %95 g\u00fcvenilirlikle maksimum kayb\u0131n takriben 2.494.000 TL olaca\u011f\u0131n\u0131 g\u00f6sterir.<\/code> <\/pre>\n\u00dcr\u00fcn Talebi Tahmini<\/h3>\n
\u00d6rnek Kullan\u0131m: Tahmini talebin ortalamas\u0131 400 \u00fcnite ve standart sapmas\u0131 50 \u00fcniteyse; = NORM.INV(0.85, 400, 50) Bu hesaplama, talebin %85 olas\u0131l\u0131kla 450 \u00fcnitenin alt\u0131nda olaca\u011f\u0131n\u0131 tahmin eder.<\/code> <\/pre>\n