{"id":845,"date":"2023-07-28T13:54:13","date_gmt":"2023-07-28T13:54:13","guid":{"rendered":"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/"},"modified":"2023-07-28T13:54:13","modified_gmt":"2023-07-28T13:54:13","slug":"uji-kemandirian-chi-kuadrat-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/","title":{"rendered":"Cara melakukan tes kemerdekaan chi-kuadrat dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><strong><a href=\"https:\/\/statorials.org\/id\/tes-kemandirian-chi-kuadrat\/\" target=\"_blank\" rel=\"noopener\">Uji independensi chi-<\/a><\/strong> <span style=\"color: #000000;\">kuadrat<\/span> <strong><span style=\"color: #000000;\">&nbsp;<\/span><\/strong> <span style=\"color: #000000;\">digunakan untuk mengetahui ada atau tidaknya hubungan yang signifikan antara dua variabel kategori.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara melakukan tes independensi chi-kuadrat dengan Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Tes independensi chi-kuadrat dengan Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita ingin mengetahui apakah gender dikaitkan dengan preferensi terhadap suatu partai politik atau tidak. Kami mengambil sampel acak sederhana dari 500 pemilih dan menanyakan preferensi partai politik mereka. Berikut tabel hasil surveinya:<\/span><\/p>\n<table width=\"379\">\n<tbody>\n<tr>\n<td width=\"84\"><\/td>\n<td style=\"text-align: center;\" width=\"74\"> <span style=\"color: #000000;\"><strong>Republik<\/strong><\/span><\/td>\n<td style=\"text-align: center;\" width=\"74\"> <span style=\"color: #000000;\"><strong>Demokrat<\/strong><\/span><\/td>\n<td style=\"text-align: center;\" width=\"110\"> <span style=\"color: #000000;\"><strong>Mandiri<\/strong><\/span><\/td>\n<td style=\"text-align: center;\" width=\"37\"> <span style=\"color: #000000;\"><strong>Total<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td> <span style=\"color: #000000;\"><strong>Pria<\/strong><\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">120<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">90<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">40<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">250<\/span><\/td>\n<\/tr>\n<tr>\n<td> <span style=\"color: #000000;\"><strong>Perempuan<\/strong><\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">110<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">95<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">45<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">250<\/span><\/td>\n<\/tr>\n<tr>\n<td> <span style=\"color: #000000;\"><strong>Total<\/strong><\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">230<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">185<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">85<\/span><\/td>\n<td style=\"text-align: center;\"> <span style=\"color: #000000;\">500<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p> <span style=\"color: #000000;\">Gunakan langkah-langkah berikut untuk melakukan uji independensi chi-kuadrat dengan Python untuk menentukan apakah gender dikaitkan dengan preferensi partai politik.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Langkah 1: Buat datanya.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Pertama, kita akan membuat tabel untuk menyimpan data kita:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>data = [[120, 90, 40],\n        [110, 95, 45]]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Langkah 2: Lakukan uji independensi chi-kuadrat.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Selanjutnya, kita dapat melakukan uji independensi chi-kuadrat menggunakan <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.chi2_contingency.html\" target=\"_blank\" rel=\"noopener\">fungsi chi2_contingency<\/a> dari perpustakaan SciPy, yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>chi2_contingency (diamati)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>diamati:<\/strong> tabel kontingensi dari nilai yang diamati.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menggunakan fungsi ini dalam contoh spesifik kami:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> scipy.stats <span style=\"color: #107d3f;\">as<\/span> stats\n\n<span style=\"color: #008080;\">#perform the Chi-Square Test of Independence<\/span>\nstats.chi2_contingency(data)\n\n(0.864,\n 0.649,\n 2,\n array([[115. , 92.5, 42.5],\n        [115. , 92.5, 42.5]]))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Cara menafsirkan hasilnya adalah sebagai berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Statistik uji chi-kuadrat: <strong>0,864<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">nilai p: <strong>0,649<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">Derajat kebebasan: <strong>2<\/strong> (dihitung sebagai #baris-1 * #kolom-1)<\/span><\/li>\n<li> <span style=\"color: #000000;\">Tabel: Tabel terakhir menampilkan nilai yang diharapkan untuk setiap sel dalam tabel kontingensi.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Ingatlah bahwa <a href=\"https:\/\/statorials.org\/id\/tes-kemandirian-chi-kuadrat\/\" target=\"_blank\" rel=\"noopener\">uji independensi chi-kuadrat<\/a> menggunakan hipotesis nol dan hipotesis alternatif berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> : (hipotesis nol)<\/strong> Kedua variabel tersebut independen.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>H <sub>1<\/sub> : (hipotesis alternatif)<\/strong> Kedua variabel tersebut <em>tidak<\/em> independen.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Karena nilai p (0,649) dari pengujian tersebut tidak kurang dari 0,05, kami gagal menolak hipotesis nol. Artinya, kami tidak memiliki cukup bukti untuk menyatakan adanya hubungan antara gender dan preferensi partai politik.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dengan kata lain, preferensi gender dan partai politik bersifat independen.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uji independensi chi- kuadrat &nbsp; digunakan untuk mengetahui ada atau tidaknya hubungan yang signifikan antara dua variabel kategori. Tutorial ini menjelaskan cara melakukan tes independensi chi-kuadrat dengan Python. Contoh: Tes independensi chi-kuadrat dengan Python Misalkan kita ingin mengetahui apakah gender dikaitkan dengan preferensi terhadap suatu partai politik atau tidak. Kami mengambil sampel acak sederhana dari [&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":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara Melakukan Tes Kemerdekaan Chi-Kuadrat dengan Python - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara melakukan tes independensi chi-kuadrat dengan Python.\" \/>\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\/id\/uji-kemandirian-chi-kuadrat-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Melakukan Tes Kemerdekaan Chi-Kuadrat dengan Python - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara melakukan tes independensi chi-kuadrat dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T13:54:13+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/\",\"url\":\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/\",\"name\":\"Cara Melakukan Tes Kemerdekaan Chi-Kuadrat dengan Python - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T13:54:13+00:00\",\"dateModified\":\"2023-07-28T13:54:13+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara melakukan tes independensi chi-kuadrat dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/uji-kemandirian-chi-kuadrat-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan tes kemerdekaan chi-kuadrat dengan python\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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