{"id":2474,"date":"2023-07-22T03:00:29","date_gmt":"2023-07-22T03:00:29","guid":{"rendered":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/"},"modified":"2023-07-22T03:00:29","modified_gmt":"2023-07-22T03:00:29","slug":"pythonda-olasilik-orani-testi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/","title":{"rendered":"Python&#39;da olabilirlik oran\u0131 testi nas\u0131l yap\u0131l\u0131r?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Olabilirlik oran\u0131 testi,<\/strong> iki i\u00e7 i\u00e7e <a href=\"https:\/\/statorials.org\/tr\/coklu-dogrusal-regresyon\/\" target=\"_blank\" rel=\"noopener\">regresyon modelinin<\/a> uyum iyili\u011fini kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/tr\/ic-ice-gecmis-model\/\" target=\"_blank\" rel=\"noopener\">Yuvalanm\u0131\u015f bir model,<\/a> genel regresyon modelinde \u00f6ng\u00f6r\u00fcc\u00fc de\u011fi\u015fkenlerin bir alt k\u00fcmesini i\u00e7eren bir modeldir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u00d6rne\u011fin, d\u00f6rt \u00f6ng\u00f6r\u00fcc\u00fc de\u011fi\u015fkene sahip a\u015fa\u011f\u0131daki regresyon modeline sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> x <sub>1<\/sub> + \u03b2 <sub>2<\/sub> x <sub>2<\/sub> + \u03b2 <sub>3<\/sub> x <sub>3<\/sub> + \u03b2 <sub>4<\/sub> x <sub>4<\/sub> + \u03b5<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0130\u00e7 i\u00e7e ge\u00e7mi\u015f bir modelin bir \u00f6rne\u011fi, orijinal tahmin de\u011fi\u015fkenlerinden yaln\u0131zca ikisini i\u00e7eren a\u015fa\u011f\u0131daki model olabilir:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> x <sub>1<\/sub> + \u03b2 <sub>2<\/sub> x <sub>2<\/sub> + \u03b5<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu iki modelin \u00f6nemli \u00f6l\u00e7\u00fcde farkl\u0131 olup olmad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in a\u015fa\u011f\u0131daki bo\u015f ve alternatif hipotezleri kullanan bir olas\u0131l\u0131k oran\u0131 testi yapabiliriz:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> :<\/strong> Tam model ve i\u00e7 i\u00e7e ge\u00e7mi\u015f model verilere e\u015fit derecede uyum sa\u011flar. Bu nedenle <strong>i\u00e7 i\u00e7e modeli kullanmal\u0131s\u0131n\u0131z<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> :<\/strong> Tam model, verilere i\u00e7 i\u00e7e ge\u00e7mi\u015f modelden \u00f6nemli \u00f6l\u00e7\u00fcde daha iyi uyuyor. Bu nedenle <strong>\u015fablonun tamam\u0131n\u0131 kullanman\u0131z<\/strong> gerekir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Testin <a href=\"https:\/\/statorials.org\/tr\/p-degerleri-istatistiksel-anlamlilik\/\" target=\"_blank\" rel=\"noopener\">p de\u011feri<\/a> belirli bir anlaml\u0131l\u0131k d\u00fczeyinin (\u00f6rne\u011fin 0,05) alt\u0131ndaysa, s\u0131f\u0131r hipotezini reddedebilir ve tam modelin \u00f6nemli \u00f6l\u00e7\u00fcde daha iyi bir uyum sa\u011flad\u0131\u011f\u0131 sonucuna varabiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki ad\u0131m ad\u0131m \u00f6rnek, Python&#8217;da olas\u0131l\u0131k oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1. Ad\u0131m: Verileri y\u00fckleyin<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Bu \u00f6rnekte, <strong>mtcars<\/strong> veri k\u00fcmesindeki verileri kullanarak a\u015fa\u011f\u0131daki iki regresyon modelinin Python&#8217;a nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterece\u011fiz:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Tam model:<\/strong> mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> mevcut + \u03b2 <sub>2<\/sub> karbonhidrat + \u03b2 <sub>3<\/sub> hp + \u03b2 <sub>4<\/sub> silindir<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Model:<\/strong> mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> mevcut + \u03b2 <sub>2<\/sub> karbonhidrat<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0130lk \u00f6nce veri k\u00fcmesini y\u00fckleyece\u011fiz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LinearRegression\n<span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> scipy\n\n<span style=\"color: #008080;\">#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data\n<\/span>data = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0130lgili:<\/strong> <a href=\"https:\/\/statorials.org\/tr\/pandalar-csvyi-okudu\/\" target=\"_blank\" rel=\"noopener\">Pandalarla CSV Dosyalar\u0131 Nas\u0131l Okunur?<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ad\u0131m 2: Regresyon modellerini yerle\u015ftirin<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u00d6ncelikle modelin tamam\u0131n\u0131 yerle\u015ftirece\u011fiz ve modelin log-olabilirli\u011fini hesaplayaca\u011f\u0131z:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define response variable\n<\/span>y1 = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x1 = data[['disp', 'carb', 'hp', 'cyl']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x1 = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x1)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>full_model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y1,x1). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#calculate log-likelihood of model\n<\/span>full_ll = full_model. <span style=\"color: #3366ff;\">llf\n<\/span>\n<span style=\"color: #008000;\">print<\/span> (full_ll)\n\n-77.55789711787898\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Daha sonra indirgenmi\u015f modeli yerle\u015ftirece\u011fiz ve modelin log-olabilirli\u011fini hesaplayaca\u011f\u0131z:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define response variable\n<\/span>y2 = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x2 = data[['disp', 'carb']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x2 = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x2)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>reduced_model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y2, x2). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#calculate log-likelihood of model\n<\/span>reduced_ll = reduced_model. <span style=\"color: #3366ff;\">llf\n<\/span>\n<span style=\"color: #008000;\">print<\/span> (reduced_ll)\n\n-78.60301334355185\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3. Ad\u0131m: G\u00fcnl\u00fck olas\u0131l\u0131k testini ger\u00e7ekle\u015ftirin<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Daha sonra, olas\u0131l\u0131k testini ger\u00e7ekle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanaca\u011f\u0131z:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate likelihood ratio Chi-Squared test statistic<\/span>\nLR_statistic = -2 <span style=\"color: #800080;\">*<\/span> (reduced_ll-full_ll)\n\n<span style=\"color: #008000;\">print<\/span> (LR_statistic)\n\n2.0902324513457415\n\n<span style=\"color: #008080;\">#calculate p-value of test statistic using 2 degrees of freedom\n<\/span>p_val = scipy. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">chi2<\/span> . <span style=\"color: #3366ff;\">sf<\/span> (LR_statistic, 2)\n\n<span style=\"color: #008000;\">print<\/span> (p_val)\n\n0.35165094613502257\n<\/strong><\/span><\/pre>\n<p> Sonu\u00e7tan ki-kare test istatisti\u011finin 2,0902 ve <span style=\"color: #000000;\">buna kar\u015f\u0131l\u0131k gelen p de\u011ferinin <strong>0,3517<\/strong> oldu\u011funu<\/span> <span style=\"color: #000000;\"><strong>g\u00f6rebiliriz<\/strong><\/span> .<\/p>\n<p> <span style=\"color: #000000;\">Bu p de\u011feri 0,05&#8217;ten k\u00fc\u00e7\u00fck olmad\u0131\u011f\u0131ndan s\u0131f\u0131r hipotezini reddetmede ba\u015far\u0131s\u0131z olaca\u011f\u0131z.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu, tam modelin ve i\u00e7 i\u00e7e ge\u00e7mi\u015f modelin verilere e\u015fit derecede iyi uydu\u011fu anlam\u0131na gelir. Bu nedenle i\u00e7 i\u00e7e modeli kullanmal\u0131y\u0131z \u00e7\u00fcnk\u00fc tam modeldeki ek yorday\u0131c\u0131 de\u011fi\u015fkenler uyumda \u00f6nemli bir iyile\u015fme sa\u011flamamaktad\u0131r.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Yani son modelimiz \u015fu \u015fekilde olacakt\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\">mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> mevcut + \u03b2 <sub>2<\/sub> karbonhidrat<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Not<\/strong> : P de\u011ferini hesaplarken 2 serbestlik derecesi kulland\u0131k \u00e7\u00fcnk\u00fc bu, iki model aras\u0131nda kullan\u0131lan toplam \u00f6ng\u00f6r\u00fcc\u00fc de\u011fi\u015fkenlerdeki fark\u0131 temsil eder.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki e\u011fitimler Python&#8217;da regresyon modellerinin kullan\u0131m\u0131na ili\u015fkin ek bilgi sa\u011flar:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/tr\/dogrusal-regresyon-pitonu\/\" target=\"_blank\" rel=\"noopener\">Python&#8217;da Do\u011frusal Regresyon \u0130\u00e7in Tam Bir K\u0131lavuz<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/polinom-regresyon-pitonu\/\" target=\"_blank\" rel=\"noopener\">Python&#8217;da polinom regresyonu nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/lojistik-regresyon-pitonu\/\" target=\"_blank\" rel=\"noopener\">Python&#8217;da Lojistik Regresyon Nas\u0131l Ger\u00e7ekle\u015ftirilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Olabilirlik oran\u0131 testi, iki i\u00e7 i\u00e7e regresyon modelinin uyum iyili\u011fini kar\u015f\u0131la\u015ft\u0131r\u0131r. Yuvalanm\u0131\u015f bir model, genel regresyon modelinde \u00f6ng\u00f6r\u00fcc\u00fc de\u011fi\u015fkenlerin bir alt k\u00fcmesini i\u00e7eren bir modeldir. \u00d6rne\u011fin, d\u00f6rt \u00f6ng\u00f6r\u00fcc\u00fc de\u011fi\u015fkene sahip a\u015fa\u011f\u0131daki regresyon modeline sahip oldu\u011fumuzu varsayal\u0131m: Y = \u03b2 0 + \u03b2 1 x 1 + \u03b2 2 x 2 + \u03b2 3 x 3 [&hellip;]<\/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-2474","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python&#039;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python&#039;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python&#039;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials\" \/>\n<meta property=\"og:description\" content=\"Bu e\u011fitimde Python&#039;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T03:00:29+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/\",\"url\":\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/\",\"name\":\"Python&#39;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/tr\/#website\"},\"datePublished\":\"2023-07-22T03:00:29+00:00\",\"dateModified\":\"2023-07-22T03:00:29+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\"},\"description\":\"Bu e\u011fitimde Python&#39;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Ev\",\"item\":\"https:\/\/statorials.org\/tr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python&#39;da olabilirlik oran\u0131 testi nas\u0131l yap\u0131l\u0131r?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/tr\/#website\",\"url\":\"https:\/\/statorials.org\/tr\/\",\"name\":\"Statorials\",\"description\":\"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/tr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"tr\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. Daha fazlas\u0131n\u0131 bil\",\"sameAs\":[\"https:\/\/statorials.org\/tr\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python&#39;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials","description":"Bu e\u011fitimde Python&#39;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/","og_locale":"tr_TR","og_type":"article","og_title":"Python&#39;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials","og_description":"Bu e\u011fitimde Python&#39;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","og_url":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/","og_site_name":"Statorials","article_published_time":"2023-07-22T03:00:29+00:00","author":"Dr.benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Dr.benjamin anderson","Tahmini okuma s\u00fcresi":"3 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/","url":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/","name":"Python&#39;da Olabilirlik Oran\u0131 Testi Nas\u0131l Yap\u0131l\u0131r - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/tr\/#website"},"datePublished":"2023-07-22T03:00:29+00:00","dateModified":"2023-07-22T03:00:29+00:00","author":{"@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48"},"description":"Bu e\u011fitimde Python&#39;da olabilirlik oran\u0131 testinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","breadcrumb":{"@id":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/tr\/pythonda-olasilik-orani-testi\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Ev","item":"https:\/\/statorials.org\/tr\/"},{"@type":"ListItem","position":2,"name":"Python&#39;da olabilirlik oran\u0131 testi nas\u0131l yap\u0131l\u0131r?"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/tr\/#website","url":"https:\/\/statorials.org\/tr\/","name":"Statorials","description":"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/tr\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"tr"},{"@type":"Person","@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48","name":"Dr.benjamin anderson","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"Dr.benjamin anderson"},"description":"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. Daha fazlas\u0131n\u0131 bil","sameAs":["https:\/\/statorials.org\/tr"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts\/2474","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/comments?post=2474"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts\/2474\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/media?parent=2474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/categories?post=2474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/tags?post=2474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}