\u0130statistiksel analizlerde g\u00fcven intervali veya hipotez testleri gibi durumlarda kritik de\u011ferlerin belirlenmesinde kullan\u0131lan \u00f6nemli bir i\u015flev TDIST<\/strong> (TDA\u011e), t da\u011f\u0131l\u0131m\u0131n\u0131n olas\u0131l\u0131k yo\u011funluk fonksiyonunu hesaplamak i\u00e7in kullan\u0131l\u0131r. Bu i\u015flev, \u00f6zellikle \u00f6rneklem b\u00fcy\u00fckl\u00fc\u011f\u00fc k\u00fc\u00e7\u00fck oldu\u011funda ve standart sapma pop\u00fclasyonu bilinmedi\u011finde \u00f6nem kazan\u0131r. <\/p>\n Bu i\u015flev iki temel \u015fekilde kullan\u0131labilir: Tek kuyruklu ve \u00e7ift kuyruklu olas\u0131l\u0131klar\u0131n hesaplanmas\u0131. \u0130\u015flevin kullan\u0131m\u0131 i\u00e7in gereken temel parametreler \u015funlard\u0131r:<\/p>\n \u00d6rnek 1:<\/strong> Bir \u00f6\u011frencinin s\u0131n\u0131f i\u00e7i s\u0131navdan ald\u0131\u011f\u0131 puan 85 ve s\u0131n\u0131f\u0131n puanlar\u0131n standart sapmas\u0131 10. E\u011fer t-distr\u00fcb\u00fcsyonu kullanarak bu \u00f6\u011frencinin s\u0131nav sonucunun anlaml\u0131l\u0131\u011f\u0131n\u0131 test etmek istesek:<\/p>\n De\u011ferlendirme: E\u011fer sonu\u00e7 d\u00fc\u015f\u00fck bir p de\u011feri (<0.05) veriyorsa, \u00f6\u011frencinin performans\u0131 istatistiki olarak anlaml\u0131d\u0131r ve s\u0131n\u0131f ortalamas\u0131ndan farkl\u0131d\u0131r.<\/p>\n \u00d6rnek 2:<\/strong> Yeni bir ilac\u0131n etkinli\u011fini test etmek i\u00e7in yap\u0131lan klinik deneyler. Ortalama iyile\u015fme s\u00fcrelerinde anlam\u0131 fark olup olmad\u0131\u011f\u0131n\u0131 tespit etmek i\u00e7in a\u015fa\u011f\u0131daki ad\u0131mlar\u0131 kullanabiliriz:<\/p>\n Yorum: Burada elde edilen p de\u011feri, ilac\u0131n istatistiksel olarak anlaml\u0131 bir iyile\u015fme sa\u011flay\u0131p sa\u011flamad\u0131\u011f\u0131n\u0131 g\u00f6sterir. E\u011fer p < 0.05 ise, ila\u00e7 etkin olarak kabul edilebilir.<\/p>\n TDIST i\u015flevi, bilimsel ara\u015ft\u0131rmalarda ve pazar ara\u015ft\u0131rmalar\u0131nda s\u0131k\u00e7a ba\u015fvurulan bir y\u00f6ntemdir. \u00d6zellikle k\u00fc\u00e7\u00fck \u00f6rneklem b\u00fcy\u00fckl\u00fcklerinde normal da\u011f\u0131l\u0131m varsay\u0131mlar\u0131n\u0131n ge\u00e7ersiz k\u0131l\u0131nd\u0131\u011f\u0131 durumlarda g\u00fcvenilir sonu\u00e7lar elde etmek i\u00e7in tercih edilir. Sonu\u00e7lar \u00fczerinde yap\u0131lacak \u00e7\u0131kar\u0131mlar, al\u0131nacak stratejik kararlar i\u00e7in objektif veri sunar. <\/p>\n","protected":false},"excerpt":{"rendered":" Student t da\u011f\u0131l\u0131m\u0131n\u0131 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-15677","post","type-post","status-publish","format-standard","hentry","category-uyumluluk"],"acf":[],"yoast_head":"\nFonksiyonun Tan\u0131m\u0131 ve Kullan\u0131l\u0131\u015f\u0131<\/h2>\n
\n
S\u00f6zdizimi: TDIST(x, df, kuyruk) <\/code> <\/pre>\nPratik Uygulamalar ve Senaryolar<\/h2>\n
x = (85 - s\u0131n\u0131f ortalamas\u0131) \/ (standart sapma \/ sqrt(\u00f6\u011frenci say\u0131s\u0131)) df = \u00f6\u011frenci say\u0131s\u0131 - 1 TDIST(x, df, 2) <\/code> <\/pre>\n
x = (deneme grubu ortalamas\u0131 - kontrol grubu ortalamas\u0131) \/ hata standart sapmas\u0131 df = toplam kat\u0131l\u0131mc\u0131 - 2 TDIST(x, df, 2) <\/code> <\/pre>\n\u0130\u015flevin \u00d6nemi ve Kapsam\u0131<\/h2>\n