{"id":3598,"date":"2023-07-16T15:16:45","date_gmt":"2023-07-16T15:16:45","guid":{"rendered":"https:\/\/statorials.org\/id\/standar-python\/"},"modified":"2023-07-16T15:16:45","modified_gmt":"2023-07-16T15:16:45","slug":"standar-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/standar-python\/","title":{"rendered":"Cara menggunakan yang setara dengan rnorm() dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Dalam bahasa pemrograman R, kita dapat menggunakan fungsi <strong>rnorm()<\/strong> untuk menghasilkan vektor nilai acak yang mengikuti <a href=\"https:\/\/statorials.org\/id\/contoh-distribusi-normal\/\" target=\"_blank\" rel=\"noopener\">distribusi normal<\/a> dengan mean dan deviasi standar tertentu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya, kode berikut menunjukkan cara menggunakan <strong>rnorm()<\/strong> untuk membuat vektor 8 nilai acak yang mengikuti distribusi normal dengan mean 5 dan standar deviasi 2:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#generate vector of 8 values that follows normal distribution with mean=5 and sd=2\n<\/span>rnorm(n=8, mean=5, sd=2)\n\n[1] 3.747092 5.367287 3.328743 8.190562 5.659016 3.359063 5.974858 6.476649\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Fungsi yang setara dengan <strong>rnorm()<\/strong> di Python adalah fungsi <strong>np.random.normal()<\/strong> , yang menggunakan sintaks dasar berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>np.random.normal(loc=0, skala=1, ukuran=Tidak Ada)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>loc<\/strong> : Rata-rata distribusi<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>skala<\/strong> : Standar deviasi distribusi<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>ukuran<\/strong> : ukuran sampel<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan fungsi ini dalam praktiknya.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: menggunakan persamaan rnorm() dengan Python<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menggunakan fungsi <strong>np.random.normal()<\/strong> untuk menghasilkan array nilai acak yang mengikuti distribusi normal dengan mean dan deviasi standar tertentu.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#make this example reproducible<\/span>\nn.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#generate array of 8 values that follow normal distribution with mean=5 and sd=2<\/span>\n<span style=\"color: #008080;\"><span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (loc=5, scale=2, size=8)\n\narray([8.24869073, 3.77648717, 3.9436565, 2.85406276, 6.73081526,\n       0.39692261, 8.48962353, 3.4775862 ])\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Hasilnya adalah array NumPy berisi 8 nilai yang dihasilkan dari distribusi normal dengan mean 5 dan standar deviasi 2.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Anda juga dapat membuat histogram menggunakan Matplotlib untuk memvisualisasikan distribusi normal yang dihasilkan oleh fungsi <strong>np.random.normal()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#make this example reproducible<\/span>\nn.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#generate array of 200 values that follows normal distribution with mean=5 and sd=2<\/span>\n<span style=\"color: #008080;\"><span style=\"color: #000000;\">data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (loc=5, scale=2, size=200)\n\n<span style=\"color: #008080;\">#create histogram to visualize distribution of values<\/span>\nplt. <span style=\"color: #3366ff;\">hist<\/span> (data, bins=30, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n<p> <strong><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29661 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normal1.jpg\" alt=\"\" width=\"497\" height=\"376\" srcset=\"\" sizes=\"\"><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Kita melihat bahwa distribusi nilai kira-kira berbentuk lonceng dengan mean 5 dan standar deviasi 2.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi <strong>np.random.normal()<\/strong> <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/random\/generated\/numpy.random.normal.html?highlight=random\" target=\"_blank\" rel=\"noopener\">di sini<\/a> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan operasi umum lainnya dengan Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/cdf-biasa-dengan-python\/\" target=\"_blank\" rel=\"noopener\">Cara Menghitung dan Merencanakan CDF Normal dengan Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/plot-python-distribusi-normal\/\" target=\"_blank\" rel=\"noopener\">Cara Merencanakan Distribusi Normal dengan Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/uji-normalitas-python\/\" target=\"_blank\" rel=\"noopener\">Cara menguji normalitas dengan Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dalam bahasa pemrograman R, kita dapat menggunakan fungsi rnorm() untuk menghasilkan vektor nilai acak yang mengikuti distribusi normal dengan mean dan deviasi standar tertentu. Misalnya, kode berikut menunjukkan cara menggunakan rnorm() untuk membuat vektor 8 nilai acak yang mengikuti distribusi normal dengan mean 5 dan standar deviasi 2: #make this example reproducible set. seeds (1) [&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 menggunakan setara dengan rnorm() dengan Python \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi rnorm() yang setara dengan Python, dengan beberapa contoh.\" \/>\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\/standar-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menggunakan setara dengan rnorm() dengan Python \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi rnorm() yang setara dengan Python, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/standar-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T15:16:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normal1.jpg\" \/>\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\/standar-python\/\",\"url\":\"https:\/\/statorials.org\/id\/standar-python\/\",\"name\":\"Cara menggunakan setara dengan rnorm() dengan Python \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-16T15:16:45+00:00\",\"dateModified\":\"2023-07-16T15:16:45+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan fungsi rnorm() yang setara dengan Python, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/standar-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/standar-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/standar-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menggunakan yang setara dengan rnorm() 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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