<\/p>\n
Bartlett testi,<\/a><\/span> \u00e7e\u015fitli gruplar aras\u0131ndaki varyanslar\u0131n e\u015fit olup olmad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in yap\u0131lan istatistiksel bir testtir.<\/span><\/p>\n Bir\u00e7ok istatistiksel test ( tek y\u00f6nl\u00fc ANOVA<\/a> gibi), \u00f6rnekler aras\u0131ndaki varyanslar\u0131n e\u015fit oldu\u011funu varsayar. Bartlett testi bu hipotezi do\u011frulamak i\u00e7in kullan\u0131labilir.<\/span><\/p>\n Bu test a\u015fa\u011f\u0131daki bo\u015f ve alternatif hipotezleri<\/a> kullan\u0131r:<\/span><\/p>\n H 0<\/sub> :<\/strong> Her grup aras\u0131ndaki varyans e\u015fittir.<\/span><\/p>\n H A<\/sub> :<\/strong> En az bir grubun varyans\u0131 di\u011ferlerine e\u015fit de\u011fildir.<\/span><\/p>\n Test istatisti\u011fi k-1<\/em> serbestlik derecesine sahip bir Ki-kare da\u011f\u0131l\u0131m\u0131n\u0131 takip eder; burada k<\/em> grup say\u0131s\u0131d\u0131r.<\/span><\/p>\n Test istatisti\u011finin kar\u015f\u0131l\u0131k gelen p de\u011feri<\/a> belirli bir anlaml\u0131l\u0131k d\u00fczeyinin alt\u0131ndaysa (\u00f6rne\u011fin, \u03b1 = 0,05), o zaman s\u0131f\u0131r hipotezini reddedebilir ve t\u00fcm gruplar\u0131n ayn\u0131 varyansa sahip olmad\u0131\u011f\u0131 sonucuna varabiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki ad\u0131m ad\u0131m \u00f6rnek, Python’da Bartlett testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r.<\/span><\/p>\n \u00dc\u00e7 farkl\u0131 \u00e7al\u0131\u015fma tekni\u011finin farkl\u0131 s\u0131nav sonu\u00e7lar\u0131na yol a\u00e7\u0131p a\u00e7mad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in, bir profes\u00f6r rastgele 10 \u00f6\u011frenciye her tekni\u011fi (Teknik A, B veya C) bir hafta boyunca kullanmalar\u0131 i\u00e7in atar ve ard\u0131ndan her \u00f6\u011frenciye e\u015fit zorlukta bir test verir.<\/span><\/p>\n 30 \u00f6\u011frencinin s\u0131nav sonu\u00e7lar\u0131 a\u015fa\u011f\u0131da sunulmu\u015ftur:<\/span><\/p>\n Bartlett testini ger\u00e7ekle\u015ftirmek i\u00e7in scipy.stats.bartlett()<\/strong> fonksiyonunu kullanabiliriz.<\/span><\/p>\n \u00d6rne\u011fimizde bu fonksiyonun nas\u0131l kullan\u0131laca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Test a\u015fa\u011f\u0131daki sonu\u00e7lar\u0131 d\u00f6nd\u00fcr\u00fcr:<\/span><\/p>\n P de\u011feri 0,05’ten az olmad\u0131\u011f\u0131ndan profes\u00f6r s\u0131f\u0131r hipotezini reddetme konusunda ba\u015far\u0131s\u0131z olacakt\u0131r. Ba\u015fka bir deyi\u015fle, \u00fc\u00e7 grubun farkl\u0131 bo\u015fluklara sahip oldu\u011funu s\u00f6yleyecek yeterli kan\u0131t\u0131 yok.<\/span><\/p>\n B\u00f6ylece tek y\u00f6nl\u00fc ANOVA’y\u0131 ger\u00e7ekle\u015ftirmeye devam edebilir.<\/span><\/p>\n Bartlett’in Test Hesaplay\u0131c\u0131s\u0131<\/a> Bartlett testi, \u00e7e\u015fitli gruplar aras\u0131ndaki varyanslar\u0131n e\u015fit olup olmad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in yap\u0131lan istatistiksel bir testtir. Bir\u00e7ok istatistiksel test ( tek y\u00f6nl\u00fc ANOVA gibi), \u00f6rnekler aras\u0131ndaki varyanslar\u0131n e\u015fit oldu\u011funu varsayar. Bartlett testi bu hipotezi do\u011frulamak i\u00e7in kullan\u0131labilir. Bu test a\u015fa\u011f\u0131daki bo\u015f ve alternatif hipotezleri kullan\u0131r: H 0 : Her grup aras\u0131ndaki varyans e\u015fittir. H A : […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1598","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n 1. Ad\u0131m: Verileri olu\u015fturun<\/strong><\/span><\/h3>\n
#create data<\/span>\nA = [85, 86, 88, 75, 78, 94, 98, 79, 71, 80]\nB = [91, 92, 93, 85, 87, 84, 82, 88, 95, 96]\nC = [79, 78, 88, 94, 92, 85, 83, 85, 82, 81]\n<\/strong><\/pre>\n Ad\u0131m 2: Bartlett testini ger\u00e7ekle\u015ftirin<\/strong><\/span><\/h3>\n
import<\/span> scipy. stats<\/span> as<\/span> stats\n\n#perform Bartlett's test<\/span>\nstats. bartlett<\/span> (A, B, C)\n\nBartlettResult(statistic=3.30243757, pvalue=0.191815983)\n<\/strong><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
ANOVA varsay\u0131mlar\u0131 nas\u0131l kontrol edilir<\/a>
Python’da Tek Y\u00f6nl\u00fc ANOVA Nas\u0131l Ger\u00e7ekle\u015ftirilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"