{"id":987,"date":"2023-07-28T02:22:40","date_gmt":"2023-07-28T02:22:40","guid":{"rendered":"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/"},"modified":"2023-07-28T02:22:40","modified_gmt":"2023-07-28T02:22:40","slug":"shapiro-akan-menguji-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/","title":{"rendered":"Cara melakukan tes shapiro-wilk dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Uji Shapiro-Wilk<\/strong> merupakan uji normalitas. Ini digunakan untuk menentukan apakah suatu sampel berasal dari distribusi normal atau tidak.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk melakukan tes Shapiro-Wilk dengan Python kita dapat menggunakan fungsi <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.shapiro.html\" target=\"_blank\" rel=\"noopener noreferrer\">scipy.stats.shapiro()<\/a> , yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>scipy.stats.shapiro(x)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> tabel data sampel.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Fungsi ini mengembalikan statistik uji dan nilai p yang sesuai.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jika nilai p berada di bawah tingkat signifikansi tertentu, maka kita mempunyai cukup bukti untuk mengatakan bahwa data sampel tidak berasal dari distribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menunjukkan beberapa contoh cara menggunakan fitur ini dalam praktik.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Uji Shapiro-Wilk pada data berdistribusi normal<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki contoh data berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> numpy.random <span style=\"color: #008000;\">import<\/span> seed\n<span style=\"color: #008000;\">from<\/span> numpy.random <span style=\"color: #008000;\">import<\/span> randn\n\n<span style=\"color: #008080;\">#set seed (eg make this example reproducible)<\/span>\nseed(0)\n\n<span style=\"color: #008080;\">#generate dataset of 100 random values that follow a standard normal distribution\n<\/span>data = randn(100)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara melakukan tes Shapiro-Wilk pada sampel 100 nilai data ini untuk menentukan apakah nilai tersebut berasal dari distribusi normal:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy.stats <span style=\"color: #008000;\">import<\/span> shapiro\n\n<span style=\"color: #008080;\">#perform Shapiro-Wilk test<\/span>\nshapiro(data)\n\nShapiroResult(statistic=0.9926937818527222, pvalue=0.8689165711402893)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya, kita dapat melihat bahwa statistik uji adalah <strong>0,9927<\/strong> dan nilai p yang sesuai adalah <strong>0,8689<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Karena nilai p tidak kurang dari 0,05, kita gagal menolak hipotesis nol. Kami tidak memiliki cukup bukti untuk mengatakan bahwa data sampel tidak berasal dari distribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Hasil ini seharusnya tidak mengejutkan karena kami membuat data sampel menggunakan fungsi <strong>randn()<\/strong> , yang menghasilkan nilai acak yang mengikuti distribusi normal standar.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Uji Shapiro-Wilk pada data yang berdistribusi tidak normal<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Sekarang anggaplah kita memiliki contoh data berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> numpy.random <span style=\"color: #008000;\">import<\/span> seed\n<span style=\"color: #008000;\">from<\/span> numpy.random <span style=\"color: #008000;\">import<\/span> fish\n\n<span style=\"color: #008080;\">#set seed (eg make this example reproducible)<\/span>\nseed(0)\n\n<span style=\"color: #008080;\">#generate dataset of 100 values that follows a Poisson distribution with mean=5\n<\/span>data = fish(5, 100)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara melakukan tes Shapiro-Wilk pada sampel 100 nilai data ini untuk menentukan apakah nilai tersebut berasal dari distribusi normal:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy.stats <span style=\"color: #008000;\">import<\/span> shapiro\n\n<span style=\"color: #008080;\">#perform Shapiro-Wilk test<\/span>\nshapiro(data)\n\nShapiroResult(statistic=0.9581913948059082, pvalue=0.002994443289935589)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya, kita dapat melihat bahwa statistik uji adalah <strong>0,9582<\/strong> dan nilai p yang sesuai adalah <strong>0,00299<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Karena nilai p kurang dari 0,05, kami menolak hipotesis nol. Kami memiliki cukup bukti untuk mengatakan bahwa data sampel tidak berasal dari distribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Hasil ini juga tidak mengherankan karena kami membuat data sampel menggunakan fungsi <strong>Poisson()<\/strong> , yang menghasilkan nilai acak yang mengikuti <a href=\"https:\/\/statorials.org\/id\/distribusi-ikan\/\" target=\"_blank\" rel=\"noopener noreferrer\">distribusi Poisson<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan uji normalitas lainnya di berbagai software statistik:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/tes-shapiro-wilk-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara melakukan tes Shapiro-Wilk di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/anderson-cheri-menguji-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara Melakukan Tes Anderson-Darling dengan Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kolmogorov-smirnov-menguji-ular-piton\/\">Cara melakukan tes Kolmogorov-Smirnov dengan Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uji Shapiro-Wilk merupakan uji normalitas. Ini digunakan untuk menentukan apakah suatu sampel berasal dari distribusi normal atau tidak. Untuk melakukan tes Shapiro-Wilk dengan Python kita dapat menggunakan fungsi scipy.stats.shapiro() , yang menggunakan sintaks berikut: scipy.stats.shapiro(x) Emas: x: tabel data sampel. Fungsi ini mengembalikan statistik uji dan nilai p yang sesuai. Jika nilai p berada di [&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 Shapiro-Wilk dengan Python - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara melakukan tes normalitas Shapiro-Wilk dengan Python, termasuk contohnya.\" \/>\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\/shapiro-akan-menguji-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 Shapiro-Wilk dengan Python - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara melakukan tes normalitas Shapiro-Wilk dengan Python, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T02:22:40+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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/\",\"url\":\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/\",\"name\":\"Cara Melakukan Tes Shapiro-Wilk dengan Python - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T02:22:40+00:00\",\"dateModified\":\"2023-07-28T02:22:40+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara melakukan tes normalitas Shapiro-Wilk dengan Python, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/shapiro-akan-menguji-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan tes shapiro-wilk 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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