{"id":1224,"date":"2023-07-27T05:49:03","date_gmt":"2023-07-27T05:49:03","guid":{"rendered":"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/"},"modified":"2023-07-27T05:49:03","modified_gmt":"2023-07-27T05:49:03","slug":"distribusi-pengambilan-sampel-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/","title":{"rendered":"Cara menghitung distribusi sampling di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">Distribusi sampling<\/a> adalah distribusi probabilitas suatu <a href=\"https:\/\/statorials.org\/id\/statistik-vs-parameter\/\" target=\"_blank\" rel=\"noopener noreferrer\">statistik<\/a> tertentu berdasarkan banyak sampel acak dari satu populasi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara melakukan hal berikut dengan distribusi sampling di R:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Hasilkan distribusi pengambilan sampel.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Visualisasikan distribusi pengambilan sampel.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Hitung mean dan deviasi standar distribusi sampling.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Hitung probabilitas mengenai distribusi sampling.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Hasilkan distribusi sampling di R<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghasilkan distribusi sampling di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(0)\n\n<span style=\"color: #008080;\">#define number of samples\n<\/span>n = 10000\n\n<span style=\"color: #008080;\">#create empty vector of length n\n<\/span>sample_means = <span style=\"color: #3366ff;\">rep<\/span> (NA, n)\n\n<span style=\"color: #008080;\">#fill empty vector with means\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1:n){\n  sample_means[i] = <span style=\"color: #3366ff;\">mean<\/span> ( <span style=\"color: #3366ff;\">rnorm<\/span> (20, mean=5.3, sd=9))\n}\n\n<span style=\"color: #008080;\">#view first six sample means\n<\/span>head(sample_means)\n\n[1] 5.283992 6.304845 4.259583 3.915274 7.756386 4.532656\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Dalam contoh ini, kami menggunakan fungsi <a href=\"https:\/\/statorials.org\/id\/dnorm-pnorm-rnorm-qnorm-di-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">rnorm()<\/a> untuk menghitung rata-rata 10.000 sampel yang masing-masing ukuran sampelnya adalah 20 dan dihasilkan dari distribusi normal dengan mean 5,3 dan standar deviasi 9.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Terlihat sampel pertama mempunyai mean 5,283992, sampel kedua mempunyai mean 6,304845, dan seterusnya.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Visualisasikan distribusi pengambilan sampel<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat histogram sederhana untuk memvisualisasikan distribusi sampling:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create histogram to visualize the sampling distribution<\/span>\nhist(sample_means, main = \"\", xlab = \" <span style=\"color: #008000;\">Sample Means<\/span> \", col = \" <span style=\"color: #008000;\">steelblue<\/span> \")\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12122 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echantillonnagemoyenne1.png\" alt=\"Distribusi pengambilan sampel dalam histogram R\" width=\"435\" height=\"407\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Terlihat distribusi samplingnya berbentuk lonceng dengan puncak mendekati nilai 5.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Namun dari ekor distribusinya kita dapat melihat bahwa beberapa sampel memiliki mean lebih besar dari 10 dan sampel lainnya memiliki mean kurang dari 0.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Temukan mean dan deviasi standar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung mean dan deviasi standar distribusi sampling:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#mean of sampling distribution<\/span>\nmean(sample_means)\n\n[1] 5.287195\n\n<span style=\"color: #008080;\">#standard deviation of sampling distribution\n<\/span>sd(sample_means)\n\n[1] 2.00224<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Secara teoritis, rata-rata distribusi sampling harusnya 5,3. Kita dapat melihat bahwa mean sampel sebenarnya dalam contoh ini adalah <strong>5.287195<\/strong> , yang mendekati 5.3.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dan secara teori, simpangan baku distribusi sampling harus sama dengan s\/\u221an, yaitu 9 \/ \u221a20 = 2,012. Kita dapat melihat bahwa simpangan baku aktual dari distribusi sampling adalah <strong>2,00224<\/strong> , yang mendekati 2,012.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Hitung probabilitasnya<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung probabilitas memperoleh nilai tertentu untuk mean sampel, dengan mempertimbangkan mean populasi, deviasi standar populasi, dan ukuran sampel.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate probability that sample mean is less than or equal to 6<\/span>\nsum(sample_means &lt;= 6) \/ length(sample_means)\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Dalam contoh khusus ini, kita menemukan probabilitas bahwa mean sampel kurang dari atau sama dengan 6, mengingat mean populasi adalah 5,3, deviasi standar populasi adalah 9, dan ukuran sampel 20 adalah <strong>0,6417<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ini sangat dekat dengan probabilitas yang dihitung oleh <a href=\"https:\/\/statorials.org\/id\/kalkulator-distribusi-sampling\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kalkulator Distribusi Sampling<\/a> :<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12123 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echantillonnagemoyenne2.png\" alt=\"Perhitungan distribusi sampling\" width=\"358\" height=\"550\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Kode lengkap<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode R lengkap yang digunakan dalam contoh ini ditunjukkan di bawah ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(0)\n\n<span style=\"color: #008080;\">#define number of samples\n<\/span>n = 10000\n\n<span style=\"color: #008080;\">#create empty vector of length n\n<\/span>sample_means = <span style=\"color: #3366ff;\">rep<\/span> (NA, n)\n\n<span style=\"color: #008080;\">#fill empty vector with means\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1:n){\n  sample_means[i] = <span style=\"color: #3366ff;\">mean<\/span> ( <span style=\"color: #3366ff;\">rnorm<\/span> (20, mean=5.3, sd=9))\n}\n\n<span style=\"color: #008080;\">#view first six sample means\n<\/span>head(sample_means)\n\n<span style=\"color: #008080;\">#create histogram to visualize the sampling distribution\n<\/span>hist(sample_means, main = \"\", xlab = \" <span style=\"color: #008000;\">Sample Means<\/span> \", col = \" <span style=\"color: #008000;\">steelblue<\/span> \")\n\n<span style=\"color: #008080;\">#mean of sampling distribution\n<\/span>mean(sample_means)\n\n<span style=\"color: #008080;\">#standard deviation of sampling distribution\n<\/span>sd(sample_means)\n\n<span style=\"color: #008080;\">#calculate probability that sample mean is less than or equal to 6<\/span>\nsum(sample_means &lt;= 6) \/ length(sample_means)\n<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pengantar Distribusi Sampling<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kalkulator-distribusi-sampling\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kalkulator Distribusi Sampling<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/teorema-limit-pusat\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pengantar Teorema Limit Pusat<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Distribusi sampling adalah distribusi probabilitas suatu statistik tertentu berdasarkan banyak sampel acak dari satu populasi. Tutorial ini menjelaskan cara melakukan hal berikut dengan distribusi sampling di R: Hasilkan distribusi pengambilan sampel. Visualisasikan distribusi pengambilan sampel. Hitung mean dan deviasi standar distribusi sampling. Hitung probabilitas mengenai distribusi sampling. Hasilkan distribusi sampling di R Kode berikut menunjukkan [&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 distribusi sampling di R<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung dan memvisualisasikan distribusi pengambilan sampel di R untuk sekumpulan parameter tertentu.\" \/>\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\/distribusi-pengambilan-sampel-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung distribusi sampling di R\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung dan memvisualisasikan distribusi pengambilan sampel di R untuk sekumpulan parameter tertentu.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T05:49:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echantillonnagemoyenne1.png\" \/>\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\/distribusi-pengambilan-sampel-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/\",\"name\":\"Cara menghitung distribusi sampling di R\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-27T05:49:03+00:00\",\"dateModified\":\"2023-07-27T05:49:03+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung dan memvisualisasikan distribusi pengambilan sampel di R untuk sekumpulan parameter tertentu.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/distribusi-pengambilan-sampel-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung distribusi sampling di r\"}]},{\"@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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