{"id":885,"date":"2023-07-28T10:40:30","date_gmt":"2023-07-28T10:40:30","guid":{"rendered":"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/"},"modified":"2023-07-28T10:40:30","modified_gmt":"2023-07-28T10:40:30","slug":"titik-korelasi-biserial-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/","title":{"rendered":"Cara menghitung korelasi titik-biserial dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Korelasi titik-biserial<\/strong> digunakan untuk mengukur hubungan antara variabel biner, x, dan variabel kontinu, y.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Mirip dengan <a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-pearson-1\/\" target=\"_blank\" rel=\"noopener\">koefisien korelasi Pearson<\/a> , koefisien korelasi titik-biserial mengambil nilai antara -1 dan 1 dimana:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">-1 menunjukkan korelasi negatif sempurna antara dua variabel<\/span><\/li>\n<li> <span style=\"color: #000000;\">0 menunjukkan tidak ada korelasi antara dua variabel<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 menunjukkan korelasi positif sempurna antara dua variabel<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara menghitung korelasi titik-biserial antara dua variabel dengan Python.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Contoh: korelasi titik-biserial dengan Python<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita mempunyai variabel biner, x, dan variabel kontinu, y:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>x = [0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0]\ny = [12, 14, 17, 17, 11, 22, 23, 11, 19, 8, 12]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.pointbiserialr.html\" target=\"_blank\" rel=\"noopener\">pointbiserialr()<\/a> dari perpustakaan scipy.stats untuk menghitung korelasi titik-biserial antara dua variabel.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa fungsi ini mengembalikan koefisien korelasi beserta nilai p yang sesuai:<\/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;\">#calculate point-biserial correlation<\/span>\nstats. <span style=\"color: #3366ff;\">pointbiserialr<\/span> (x,y)\n\nPointbiserialrResult(correlation=0.21816, pvalue=0.51928)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Koefisien korelasi titik-biserial adalah <strong>0,21816<\/strong> dan nilai p yang sesuai adalah <strong>0,51928<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Karena koefisien korelasinya bernilai positif, hal ini menunjukkan bahwa ketika variabel x bernilai \u201c1\u201d, maka variabel y cenderung mengambil nilai lebih tinggi dibandingkan jika variabel x bernilai \u201c0\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Karena nilai p dari korelasi ini tidak kurang dari 0,05, maka korelasi ini tidak signifikan secara statistik.<\/span><\/p>\n<p> <em><span style=\"color: #000000;\">Anda dapat menemukan detail pasti tentang bagaimana korelasi ini dihitung dalam<\/span> <span style=\"color: #000000;\"><a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.pointbiserialr.html\" target=\"_blank\" rel=\"noopener\">dokumentasi<\/a> scipy.stats.<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Korelasi titik-biserial digunakan untuk mengukur hubungan antara variabel biner, x, dan variabel kontinu, y. Mirip dengan koefisien korelasi Pearson , koefisien korelasi titik-biserial mengambil nilai antara -1 dan 1 dimana: -1 menunjukkan korelasi negatif sempurna antara dua variabel 0 menunjukkan tidak ada korelasi antara dua variabel 1 menunjukkan korelasi positif sempurna antara dua variabel Tutorial [&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 menghitung korelasi titik-biserial dengan Python - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara menghitung korelasi titik-biserial 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\/titik-korelasi-biserial-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung korelasi titik-biserial dengan Python - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara menghitung korelasi titik-biserial dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T10:40:30+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\/titik-korelasi-biserial-python\/\",\"url\":\"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/\",\"name\":\"Cara menghitung korelasi titik-biserial dengan Python - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T10:40:30+00:00\",\"dateModified\":\"2023-07-28T10:40:30+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara menghitung korelasi titik-biserial dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/titik-korelasi-biserial-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung korelasi titik-biserial 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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