{"id":730005,"date":"2020-11-20T03:30:16","date_gmt":"2020-11-20T03:30:16","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/ornekleme-hatasi-tanimi-turleri-kontrolu-ve-hatalarin-azaltilmasi\/"},"modified":"2020-11-20T03:30:16","modified_gmt":"2020-11-20T03:30:16","slug":"ornekleme-hatasi-tanimi-turleri-kontrolu-ve-hatalarin-azaltilmasi","status":"publish","type":"post","link":"https:\/\/qa-release.questionpro.com\/blog\/tr\/ornekleme-hatasi-tanimi-turleri-kontrolu-ve-hatalarin-azaltilmasi\/","title":{"rendered":"\u00d6rnekleme hatas\u0131 – Tan\u0131m\u0131, t\u00fcrleri, kontrol\u00fc ve hatalar\u0131n azalt\u0131lmas\u0131"},"content":{"rendered":"
\u00d6rnekleme hatas\u0131, \u00e7al\u0131\u015fmada kullan\u0131lan \u00f6rneklemin t\u00fcm pop\u00fclasyonu temsil etmedi\u011fi durumlarda ortaya \u00e7\u0131kar. \u00d6rnekleme hatalar\u0131 s\u0131kl\u0131kla meydana gelir ve bu nedenle ara\u015ft\u0131rmac\u0131lar, istatistiksel bir uygulama olarak nihai sonu\u00e7lar s\u0131ras\u0131nda her zaman bir hata pay\u0131 hesaplarlar. Hata pay\u0131, \u00f6rneklem ile ger\u00e7ek pop\u00fclasyon aras\u0131ndaki fark\u0131 temsil etmek \u00fczere bir yanl\u0131\u015f hesaplama i\u00e7in izin verilen hata miktar\u0131d\u0131r.<\/span><\/p>\n Kat\u0131l\u0131mc\u0131lar\u0131n\u0131z\u0131 se\u00e7in<\/strong><\/a><\/p>\n \u0130\u015fte \u00f6rnekleme s\u0131ras\u0131nda yap\u0131lan en \u00f6nemli d\u00f6rt pazar ara\u015ft\u0131rmas\u0131 hatas\u0131:<\/span><\/p>\n \u0130statistiksel teoriler, ara\u015ft\u0131rmac\u0131lar\u0131n \u00f6rneklem b\u00fcy\u00fckl\u00fc\u011f\u00fc ve pop\u00fclasyondaki \u00f6rnekleme hatalar\u0131n\u0131n olas\u0131l\u0131\u011f\u0131n\u0131 \u00f6l\u00e7melerine yard\u0131mc\u0131 olur. Pop\u00fclasyondan al\u0131nan \u00f6rneklemin b\u00fcy\u00fckl\u00fc\u011f\u00fc, \u00f6ncelikle \u00f6rnekleme hatas\u0131n\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc belirler. Daha b\u00fcy\u00fck \u00f6rneklem b\u00fcy\u00fckl\u00fckleri daha d\u00fc\u015f\u00fck hata oran\u0131yla kar\u015f\u0131la\u015fma e\u011filimindedir. Ara\u015ft\u0131rmac\u0131lar hata pay\u0131n\u0131<\/a> anlamak ve de\u011ferlendirmek i\u00e7in hata pay\u0131 olarak bilinen bir metrik kullanmaktad\u0131r. Genellikle, %95’lik bir g\u00fcven seviyesi istenen g\u00fcven seviyesi olarak kabul edilir. <\/span><\/p>\n Profesyonel \u0130pucu<\/strong>: Kendi hata pay\u0131n\u0131z\u0131 hesaplamak i\u00e7in yard\u0131ma ihtiyac\u0131n\u0131z varsa, Hata Pay\u0131 Hesaplay\u0131c\u0131m\u0131z\u0131<\/a> kullanabilirsiniz.<\/p>\n \u00d6rnekleme hatalar\u0131n\u0131 tespit etmek kolayd\u0131r. \u0130\u015fte \u00f6rnekleme hatas\u0131n\u0131 azaltmak i\u00e7in birka\u00e7 basit ad\u0131m:<\/span><\/p>\nPazar ara\u015ft\u0131rmas\u0131nda en s\u0131k kar\u015f\u0131la\u015f\u0131lan \u00f6rnekleme hatalar\u0131 nelerdir?<\/b><\/h2>\n
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\u00d6rnekleme hatan\u0131z\u0131 kontrol etme<\/b><\/h3>\n
\u00d6rnekleme hatalar\u0131n\u0131 azaltmaya y\u00f6nelik ad\u0131mlar nelerdir?<\/b><\/h3>\n
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\n<\/span><\/li>\n<\/ol>\n