<\/p>\n
Cramer V,<\/strong> iki nominal de\u011fi\u015fken aras\u0131ndaki ili\u015fkinin g\u00fcc\u00fcn\u00fcn bir \u00f6l\u00e7\u00fcs\u00fcd\u00fcr.<\/span><\/p>\n 0’dan 1’e gider, burada:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u015fekilde hesaplan\u0131r:<\/span><\/p>\n Cramer’in V = \u221a (X 2<\/sup> \/n) \/ dak(c-1, r-1)<\/span><\/span><\/strong><\/p>\n Alt\u0131n:<\/span><\/p>\n Bu e\u011fitimde Python’daki bir beklenmedik durum tablosu i\u00e7in Cramer’in V’sinin hesaplanmas\u0131na ili\u015fkin baz\u0131 \u00f6rnekler verilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 2×2’lik bir tablo i\u00e7in Cramer V’nin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Cramer’s V’nin 0,1617<\/strong> oldu\u011fu ortaya \u00e7\u0131k\u0131yor, bu da tablodaki iki de\u011fi\u015fken aras\u0131nda olduk\u00e7a zay\u0131f bir ili\u015fkinin oldu\u011funu g\u00f6steriyor.<\/span><\/p>\n Herhangi bir boyuttaki bir dizi i\u00e7in Cramer’in V’sini hesaplamak amac\u0131yla CramerV<\/strong> fonksiyonunu kullanabilece\u011fimizi unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 2 sat\u0131r ve 3 s\u00fctunlu bir tablo i\u00e7in Cramer V’nin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Cramer’in V’si 0,1775<\/strong> olarak \u00e7\u0131k\u0131yor.<\/span><\/p>\n Bu \u00f6rnekte 2 sat\u0131r ve 3 s\u00fctun i\u00e7eren bir tablo kullan\u0131ld\u0131\u011f\u0131n\u0131 ancak ayn\u0131 kodun herhangi bir boyuta sahip bir tablo i\u00e7in i\u015fe yarad\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Python’da Ki Kare Ba\u011f\u0131ms\u0131zl\u0131k Testi<\/a> Cramer V, iki nominal de\u011fi\u015fken aras\u0131ndaki ili\u015fkinin g\u00fcc\u00fcn\u00fcn bir \u00f6l\u00e7\u00fcs\u00fcd\u00fcr. 0’dan 1’e gider, burada: 0, iki de\u011fi\u015fken aras\u0131nda ili\u015fki olmad\u0131\u011f\u0131n\u0131 g\u00f6sterir. 1, iki de\u011fi\u015fken aras\u0131nda g\u00fc\u00e7l\u00fc bir ili\u015fkiyi g\u00f6sterir. A\u015fa\u011f\u0131daki \u015fekilde hesaplan\u0131r: Cramer’in V = \u221a (X 2 \/n) \/ dak(c-1, r-1) Alt\u0131n: X 2 : Ki kare istatisti\u011fi n: toplam \u00f6rneklem b\u00fcy\u00fckl\u00fc\u011f\u00fc r: Sat\u0131r […]<\/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-1288","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n\n
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\u00d6rnek 1: 2\u00d72’lik bir tablo i\u00e7in Cramer’in V’si<\/strong><\/span><\/h3>\n
#load necessary packages and functions\nimport<\/span> scipy. stats<\/span> as<\/span> stats<\/span>\nimport<\/span> numpy as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. array<\/span> ([[7,12], [9,8]])\n\n#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. chi2_contingency<\/span> (data, correction= False<\/span> )[0]\nn = np. sum<\/span> (data)\nminDim = min( data.shape<\/span> )-1\n\n#calculate Cramer's V<\/span>\nV = np. sqrt<\/span> ((X2\/n) \/ minDim)\n\n#display Cramer's V\n<\/span>print(V)\n\n0.1617<\/strong><\/pre>\n \u00d6rnek 2: Daha b\u00fcy\u00fck tablolar i\u00e7in Cramer’s V<\/strong><\/span><\/h3>\n
#load necessary packages and functions\nimport<\/span> scipy. stats<\/span> as<\/span> stats<\/span>\nimport<\/span> numpy as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. array<\/span> ([[6,9], [8, 5], [12, 9]])\n\n#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. chi2_contingency<\/span> (data, correction= False<\/span> )[0]\nn = np. sum<\/span> (data)\nminDim = min( data.shape<\/span> )-1\n\n#calculate Cramer's V<\/span>\nV = np. sqrt<\/span> ((X2\/n) \/ minDim)\n\n#display Cramer's V\n<\/span>print(V)\n\n0.1775<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Python’da ki-kare uyum iyili\u011fi testi<\/a>
Fisher’\u0131n Python’daki kesin testi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"