{"id":15675,"date":"2025-07-15T13:34:53","date_gmt":"2025-07-15T13:34:53","guid":{"rendered":"https:\/\/functiontranslator.com\/t-dag-2k\/"},"modified":"2021-02-25T16:37:29","modified_gmt":"2021-02-25T16:37:29","slug":"t-dist-2t","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/tr\/t-dist-2t\/","title":{"rendered":"T.DA\u011e.2K"},"content":{"rendered":"

\u0130ki Kuyruklu T Da\u011f\u0131l\u0131m\u0131n\u0131 Kullanarak Veri Analizi<\/h2>\n

\u0130ki kuyruklu T Da\u011f\u0131l\u0131m\u0131, istatistiksel analizlerde pop\u00fcler bir y\u00f6ntemdir, \u00f6zellikle k\u00fc\u00e7\u00fck \u00f6rneklem b\u00fcy\u00fckl\u00fcklerinde normal da\u011f\u0131l\u0131m\u0131n uygun olmad\u0131\u011f\u0131 durumlar i\u00e7in kullan\u0131l\u0131r. Hem Microsoft Excel hem de Google E-Tablolar, bu i\u015flevi T.DIST.2T<\/code> (T\u00fcrk\u00e7e versiyonunda T.DA\u011e.2K<\/code>) ad\u0131 alt\u0131nda sunar. \u0130ki parametre al\u0131r: x (test istatisti\u011fi) ve df (serbestlik derecesi). Bu i\u015flev, belirli bir T de\u011feri i\u00e7in iki kuyruklu k\u00fcm\u00fclatif da\u011f\u0131l\u0131m olas\u0131l\u0131\u011f\u0131n\u0131 hesaplar.<\/p>\n

\u0130\u015flevin S\u00f6zdizimi<\/h2>\n

\u0130\u015flevin genel kullan\u0131m\u0131 \u015fu \u015fekildedir:<\/p>\n

 T.DIST.2T(x, df)<\/code> <\/pre>\n
    \n
  • x:<\/strong> T test istatisti\u011fi de\u011feri.<\/li>\n
  • df:<\/strong> Serbestlik derecesi, genellikle g\u00f6zlem say\u0131s\u0131ndan bir eksiktir.<\/li>\n<\/ul>\n
    Pratik Kullan\u0131m Senaryolar\u0131<\/h2>\n
    \u0130ki kuyruklu T Da\u011f\u0131l\u0131m\u0131 i\u015flevi, \u00f6zellikle bilimsel ara\u015ft\u0131rmalarda ve \u00f6\u011frenci t testlerinde yararl\u0131d\u0131r.<\/p>\n
    \u00d6rnek Uygulama: \u00d6\u011frenci Performans\u0131n\u0131n De\u011ferlendirilmesi<\/h2>\n
    Bir \u00f6\u011fretmen, s\u0131n\u0131f\u0131ndaki \u00f6\u011frencilerin matematik performans\u0131n\u0131 de\u011ferlendirmek i\u00e7in bir t testi yapm\u0131\u015f olsun. S\u0131n\u0131f\u0131n ortalama puan\u0131 70, ancak \u00f6\u011fretmen bir ba\u015fka s\u0131n\u0131f\u0131n ortalamas\u0131n\u0131n bu sonu\u00e7tan anlaml\u0131 derecede farkl\u0131 olup olmad\u0131\u011f\u0131n\u0131 belirlemek istiyor.<\/p>\n
    \u00d6\u011fretmen a\u015fa\u011f\u0131daki ad\u0131mlar\u0131 takip eder:<\/p>\n
     1. Test istatisti\u011fi hesaplan\u0131r. Diyelim ki sonu\u00e7 2.0 \u00e7\u0131kt\u0131. 2. \u00d6\u011frenci say\u0131s\u0131 25, dolay\u0131s\u0131yla df = 24. 3. Excel veya Google E-Tablolar'da \u015fu form\u00fcl\u00fc kullan\u0131r: T.DIST.2T(2.0, 24)<\/code> <\/pre>\n
    Bu form\u00fcl, istatisti\u011fin anlaml\u0131l\u0131\u011f\u0131n\u0131 de\u011ferlendirmek i\u00e7in p-de\u011ferini sa\u011flar. E\u011fer bu de\u011fer \u00f6rne\u011fin 0.05’ten k\u00fc\u00e7\u00fckse, performans\u0131n farkl\u0131 oldu\u011funu istatistiksel olarak s\u00f6yleyebiliriz.<\/p>\n
    \u00d6rnek Uygulama: Piyasa Ara\u015ft\u0131rmas\u0131 Analizi<\/h2>\n
    Bir pazar ara\u015ft\u0131rma \u015firketi, iki farkl\u0131 m\u00fc\u015fteri segmentinin \u00fcr\u00fcn tercihlerinde anlaml\u0131 bir fark olup olmad\u0131\u011f\u0131n\u0131 anlamak i\u00e7in independent t-test kullan\u0131yor. Segmentlerden birinin tercih puanlar\u0131 ortalamas\u0131 80, di\u011feri 78 ve her segmentten 30 m\u00fc\u015fteri var.<\/p>\n
     1. T test istatisti\u011fi hesaplan\u0131r, varsayal\u0131m ki bu 1.5. 2. Her grup i\u00e7in 29 serbestlik derecesi var, toplamda df = 58. 3. \u0130\u015flev \u015fu \u015fekilde kullan\u0131l\u0131r: T.DIST.2T(1.5, 58)<\/code> <\/pre>\n
    Burada elde edilen p-de\u011ferine g\u00f6re, tercihler aras\u0131nda istatistiksel olarak anlaml\u0131 bir fark var m\u0131 yok mu karar verilebilir. Diyelim ki p-de\u011fer 0.14 \u00e7\u0131kt\u0131, bu durumda %95 g\u00fcven seviyesinde fark anlaml\u0131 de\u011fildir.<\/p>\n
    Yorumlar ve Nihai De\u011ferlendirme<\/h2>\n
    \u0130ki kuyruklu T Da\u011f\u0131l\u0131m\u0131, k\u00fc\u00e7\u00fck \u00f6rneklem boyutlar\u0131n\u0131n ard\u0131ndaki belirsizlikleri ele alarak \u00f6nemli istatistiksel \u00e7\u0131kar\u0131mlar yapmam\u0131za olanak tan\u0131r. Ancak, kullan\u0131m\u0131 do\u011fru \u00f6rneklem b\u00fcy\u00fckl\u00fc\u011f\u00fc ve do\u011fru test ko\u015fullar\u0131 alt\u0131nda yap\u0131ld\u0131\u011f\u0131ndan emin olunmal\u0131d\u0131r. Ayr\u0131ca, p-de\u011ferinin yorumlanmas\u0131 s\u0131ras\u0131nda dikkatli olunmal\u0131 ve %5 gibi geleneksel bir anlaml\u0131l\u0131k s\u0131n\u0131r\u0131 yerine ara\u015ft\u0131rman\u0131n amac\u0131na uygun bir seviye se\u00e7ilmelidir.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Student t-da\u011f\u0131l\u0131m\u0131n\u0131n Y\u00fczde Noktalar\u0131n\u0131 (olas\u0131l\u0131k) verir<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[582],"tags":[],"class_list":["post-15675","post","type-post","status-publish","format-standard","hentry","category-istatistik"],"acf":[],"yoast_head":"\nExcel'de T.DIST.2T (T.DA\u011e.2K) Fonksiyonu: Nas\u0131l \u00c7al\u0131\u015f\u0131r, Kullan\u0131m \u00d6rnekleri<\/title>\n<meta name=\"description\" content=\"Excel ve Google E-Tablolar'da T.DIST.2T (T.DA\u011e.2K) fonksiyonunun detayl\u0131 incelemesi. 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