<\/p>\n
Python’da bir \u00f6rnek ve iki \u00f6rnek z testi ger\u00e7ekle\u015ftirmek i\u00e7in statsmodels<\/a> paketindeki ztest()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n Alt\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Belirli bir pop\u00fclasyonun IQ’sunun \u03bc = 100 ortalamas\u0131 ve \u03c3 = 15 standart sapmas\u0131 ile normal \u015fekilde da\u011f\u0131ld\u0131\u011f\u0131n\u0131 varsayal\u0131m.<\/span><\/p>\n Bir ara\u015ft\u0131rmac\u0131 yeni bir ilac\u0131n IQ d\u00fczeylerini etkileyip etkilemedi\u011fini bilmek istiyor. Bu y\u00fczden denemek i\u00e7in 20 hastay\u0131 i\u015fe al\u0131yor ve IQ seviyelerini kaydediyor.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, yeni ilac\u0131n IQ seviyelerinde \u00f6nemli bir farkl\u0131l\u0131\u011fa neden olup olmad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in Python’da \u00f6rnek bir z testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n Tek \u00f6rnekli z testi i\u00e7in test istatisti\u011fi 1,5976’d\u0131r<\/strong> ve buna kar\u015f\u0131l\u0131k gelen p de\u011feri 0,1101’dir<\/strong> .<\/span><\/p>\n Bu p de\u011feri 0,05’ten k\u00fc\u00e7\u00fck olmad\u0131\u011f\u0131ndan s\u0131f\u0131r hipotezini reddetmek i\u00e7in yeterli kan\u0131t\u0131m\u0131z yok. Yani yeni ila\u00e7 IQ seviyesini \u00f6nemli \u00f6l\u00e7\u00fcde etkilemiyor.<\/span><\/p>\n \u0130ki farkl\u0131 \u015fehirdeki bireyler aras\u0131ndaki IQ d\u00fczeylerinin bilinen standart sapmalarla normal \u015fekilde da\u011f\u0131ld\u0131\u011f\u0131n\u0131 varsayal\u0131m.<\/span><\/p>\n Bir ara\u015ft\u0131rmac\u0131, A \u015fehrinde ve B \u015fehrinde ya\u015fayan bireylerin ortalama IQ d\u00fczeylerinin farkl\u0131 olup olmad\u0131\u011f\u0131n\u0131 bilmek istiyor. B\u00f6ylece her \u015fehirden 20 ki\u015fiden olu\u015fan basit rastgele bir \u00f6rnek<\/a> se\u00e7iyor ve IQ seviyelerini kaydediyor.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ortalama IQ d\u00fczeyinin iki \u015fehir aras\u0131nda farkl\u0131 olup olmad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in Python’da iki \u00f6rnekli z testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n \u0130ki \u00f6rnekli z testi i\u00e7in test istatisti\u011fi -1,9953’t\u00fcr<\/strong> ve buna kar\u015f\u0131l\u0131k gelen p de\u011feri 0,0460’t\u0131r<\/strong> .<\/span><\/p>\n Bu p de\u011feri 0,05’ten k\u00fc\u00e7\u00fck oldu\u011fundan s\u0131f\u0131r hipotezini reddetmek i\u00e7in yeterli kan\u0131t\u0131m\u0131z var. Ba\u015fka bir deyi\u015fle ortalama IQ seviyesi iki \u015fehir aras\u0131nda \u00f6nemli \u00f6l\u00e7\u00fcde farkl\u0131.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n istatistiksel testlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Python’da Tek \u00d6rnek T Testi Nas\u0131l Ger\u00e7ekle\u015ftirilir<\/a> Python’da bir \u00f6rnek ve iki \u00f6rnek z testi ger\u00e7ekle\u015ftirmek i\u00e7in statsmodels paketindeki ztest() i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: statsmodels. stats . weightstats . ztest ( x1 , x2 = None , value = 0 ) Alt\u0131n: x1 : ilk \u00f6rne\u011fin de\u011ferleri x2 : ikinci numuneye ait de\u011ferler (iki numuneli z testi yap\u0131yorsan\u0131z) […]<\/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-2230","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n statsmodels. stats<\/span> . weightstats<\/span> .<\/span><\/span> ztest<\/span><\/span> (<\/span> x1<\/span><\/span><\/em> , x2<\/span><\/span> =<\/span><\/span> None<\/span><\/span><\/em> , value<\/span><\/span> =<\/span><\/span> 0<\/span> )<\/span><\/span><\/em>\n<\/strong><\/pre>\n\n
\u00d6rnek 1: Python’da Z testi \u00f6rne\u011fi<\/strong><\/span><\/h3>\n
from<\/span> statsmodels. stats<\/span> . weightstats<\/span> import<\/span> ztest as<\/span> ztest\n\n#enter IQ levels for 20 patients\n<\/span>data = [88, 92, 94, 94, 96, 97, 97, 97, 99, 99,\n 105, 109, 109, 109, 110, 112, 112, 113, 114, 115]\n\n#perform one sample z-test\n<\/span>ztest(data, value= 100<\/span> )\n\n(1.5976240527147705, 0.1101266701438426)\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: Python’da \u0130ki Z Testi \u00d6rne\u011fi<\/strong><\/span><\/h3>\n
from<\/span> statsmodels. stats<\/span> . weightstats<\/span> import<\/span> ztest as<\/span> ztest\n\n#enter IQ levels for 20 individuals from each city\n<\/span>cityA = [82, 84, 85, 89, 91, 91, 92, 94, 99, 99,\n 105, 109, 109, 109, 110, 112, 112, 113, 114, 114]\n\ncityB = [90, 91, 91, 91, 95, 95, 99, 99, 108, 109,\n 109, 114, 115, 116, 117, 117, 128, 129, 130, 133]\n\n#perform two sample z-test\n<\/span>ztest(cityA, cityB, value= 0<\/span> ) \n\n(-1.9953236073282115, 0.046007596761332065)\n<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Python’da \u0130ki \u00d6rnekli T Testi Nas\u0131l Ger\u00e7ekle\u015ftirilir<\/a>
Python’da E\u015fle\u015ftirilmi\u015f \u00d6rnekler T-Testi Nas\u0131l Ger\u00e7ekle\u015ftirilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"