{"id":144,"date":"2023-08-05T00:14:23","date_gmt":"2023-08-05T00:14:23","guid":{"rendered":"https:\/\/statorials.org\/id\/asimetri-statistik\/"},"modified":"2023-08-05T00:14:23","modified_gmt":"2023-08-05T00:14:23","slug":"asimetri-statistik","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/asimetri-statistik\/","title":{"rendered":"Asimetri (statistik)"},"content":{"rendered":"<p>Artikel ini menjelaskan apa yang dimaksud dengan skewness dalam statistik. Dengan demikian, Anda akan menemukan definisi asimetri dalam statistik, apa saja jenis-jenis asimetri, cara menghitung koefisien asimetri, dan cara menafsirkannya. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%c2%bfque-es-la-asimetria-en-estadistica\"><\/span> Apa yang dimaksud dengan asimetri dalam statistik?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Dalam statistik, <strong>skewness<\/strong> adalah ukuran yang menunjukkan derajat simetri (atau asimetri) suatu distribusi relatif terhadap meannya. Sederhananya, skewness adalah parameter statistik yang digunakan untuk menentukan derajat simetri (atau asimetri) suatu distribusi tanpa perlu merepresentasikannya secara grafis.<\/p>\n<p> Jadi, distribusi yang miring adalah distribusi yang jumlah nilai di sebelah kiri meannya berbeda dengan di sebelah kanan. Sebaliknya, pada distribusi simetris terdapat jumlah nilai yang sama di kiri dan kanan mean.<\/p>\n<p> Misalnya distribusi eksponensial asimetris dan distribusi normal simetris.<\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"tipos-de-asimetria\"><\/span> Jenis asimetri<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Dalam statistik, ada tiga <strong>jenis asimetri<\/strong> :<\/p>\n<ul style=\"color:#FF8A05; font-weight: bold;\">\n<li style=\"margin-bottom:12px\"> <span style=\"color:#101010;font-weight: normal;\"><strong>Asimetri positif<\/strong> : Distribusi mempunyai nilai yang lebih berbeda di sebelah kanan mean daripada di sebelah kirinya.<\/span><\/li>\n<li style=\"margin-bottom:12px\"> <span style=\"color:#101010;font-weight: normal;\"><strong>Simetri<\/strong> : Distribusi mempunyai jumlah nilai yang sama di sebelah kiri mean dan di sebelah kanan mean.<\/span><\/li>\n<li> <span style=\"color:#101010;font-weight: normal;\"><strong>Kecondongan negatif<\/strong> : Distribusi mempunyai nilai yang lebih berbeda di sebelah kiri mean daripada di sebelah kanannya.<\/span> <\/li>\n<\/ul>\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/statistiques-types-dasymetrie.png\" alt=\"jenis asimetri\" class=\"wp-image-2983\" width=\"648\" height=\"196\" srcset=\"\" sizes=\"\"><\/figure>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"coeficiente-de-asimetria\"><\/span> Koefisien asimetri<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> <strong>Koefisien kemiringan<\/strong> , atau <strong>indeks asimetri<\/strong> , adalah koefisien statistik yang membantu menentukan asimetri suatu distribusi. Jadi, dengan menghitung koefisien asimetri, Anda dapat mengetahui jenis asimetri distribusi tanpa harus membuat representasi grafisnya.<\/p>\n<p> Meskipun ada rumus berbeda untuk menghitung koefisien asimetri, dan kita akan melihat semuanya di bawah, apa pun rumus yang digunakan, interpretasi koefisien asimetri selalu dilakukan sebagai berikut: <\/p>\n<div style=\"padding-top: 23px; padding-bottom: 0.5px; padding-right: 30px; padding-left: 20px; border: 2.5px dashed #FF8A05; border-radius:20px;\">\n<ul style=\"color:#FF8A05; font-weight: bold;\">\n<li style=\"margin-bottom:12px\"> <span style=\"color:#101010;font-weight: normal;\">Jika koefisien skewness bernilai positif, maka distribusinya bersifat <strong>skewed positif<\/strong> .<\/span><\/li>\n<li style=\"margin-bottom:12px\"> <span style=\"color:#101010;font-weight: normal;\">Jika koefisien skewness sama dengan nol, maka distribusinya <strong>simetris<\/strong> .<\/span><\/li>\n<li> <span style=\"color:#101010;font-weight: normal;\">Jika koefisien skewness negatif, maka distribusinya <strong>miring negatif<\/strong> .<\/span> <\/li>\n<\/ul>\n<\/div>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"coeficiente-de-asimetria-de-fisher\"><\/span> Koefisien asimetri Fisher<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p> Koefisien skewness Fisher sama dengan momen ketiga terhadap mean dibagi dengan deviasi standar sampel. Oleh karena itu, <strong>rumus koefisien asimetri Fisher<\/strong> adalah:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-224ee5bd016c7e0dd70260d2e9d40c9f_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle\\gamma_1=\\frac{\\mu_3}{\\sigma^3}\" title=\"Rendered by QuickLaTeX.com\" height=\"32\" width=\"61\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Dengan cara yang sama, salah satu dari dua rumus berikut dapat digunakan untuk menghitung koefisien Fisher:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-17fec004daa41a09c4ec2990d4dcc374_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle\\gamma_1=\\frac{\\displaystyle \\sum_{i=1}^N\\left(x_i-\\mu\\right)^3}{N\\cdot \\sigma ^3}\" title=\"Rendered by QuickLaTeX.com\" height=\"73\" width=\"141\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-92f7c8482d520258f24cc0166d898d1e_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle\\gamma_1=\\frac{\\operatorname{E}[X^3] - 3\\mu\\sigma^2 - \\mu^3}{\\sigma^3}\" title=\"Rendered by QuickLaTeX.com\" height=\"39\" width=\"188\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Emas<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-638a7387bd72763290cc777a9b509c38_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"E\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"14\" style=\"vertical-align: 0px;\"><\/p>\n<p> adalah harapan matematis,<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-05d9eae892416bd34247a25207f8b718_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\mu\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"11\" style=\"vertical-align: -4px;\"><\/p>\n<p> mean aritmatika,<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-eaaf379fee5e67946f3fedf5631047b1_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\sigma\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"11\" style=\"vertical-align: 0px;\"><\/p>\n<p> simpangan baku dan<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-7354bae77b50b7d1faed3e8ea7a3511a_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"N\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"16\" style=\"vertical-align: 0px;\"><\/p>\n<p> jumlah total data.<\/p>\n<p> Sedangkan jika datanya dikelompokkan dapat menggunakan rumus berikut:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-5c26470126d254018437efec48228b8d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle\\gamma_1=\\frac{\\displaystyle \\sum_{i=1}^N\\left(x_i-\\mu\\right)^3\\cdot f_i}{N\\cdot \\sigma ^3}\" title=\"Rendered by QuickLaTeX.com\" height=\"73\" width=\"167\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Dimana dalam hal ini<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-dad27a9703483183e1afd245f5232b83_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"x_i\" title=\"Rendered by QuickLaTeX.com\" height=\"11\" width=\"15\" style=\"vertical-align: -3px;\"><\/p>\n<p> Itu adalah tanda kelas dan<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-fcb89ec1b112c79bfb56f1c210f6bb67_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"f_i\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"14\" style=\"vertical-align: -4px;\"><\/p>\n<p> frekuensi absolut kursus. <\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"coeficiente-de-asimetria-de-pearson\"><\/span> Koefisien asimetri Pearson<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p> Koefisien skewness Pearson sama dengan selisih antara mean sampel dan modus dibagi dengan deviasi standarnya (atau deviasi standar). Oleh karena itu, <strong>rumus koefisien asimetri Pearson<\/strong> adalah sebagai berikut:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-c8f46cbf70a6a496ac36355ebfd70827_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"A_p=\\cfrac{\\mu-Mo}{\\sigma}\" title=\"Rendered by QuickLaTeX.com\" height=\"38\" width=\"108\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Emas<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-605ba5e37ad8f2e92b2248f02c3a090f_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"A_p\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"20\" style=\"vertical-align: -6px;\"><\/p>\n<p> adalah koefisien Pearson,<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-05d9eae892416bd34247a25207f8b718_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\mu\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"11\" style=\"vertical-align: -4px;\"><\/p>\n<p> mean aritmatika,<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-56c0033b7da6d7997aeec99c3967c421_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Mo\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"28\" style=\"vertical-align: 0px;\"><\/p>\n<p> mode dan<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-eaaf379fee5e67946f3fedf5631047b1_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\sigma\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"11\" style=\"vertical-align: 0px;\"><\/p>\n<p> deviasi standar.<\/p>\n<p> Perlu diingat bahwa koefisien skewness Pearson hanya dapat dihitung jika distribusinya unimodal, yaitu jika hanya terdapat satu mode dalam data.<\/p>\n<p> Beberapa penulis menggunakan median sebagai ganti modus untuk menghitung koefisien skewness Pearson, namun umumnya rumus di atas yang digunakan. <\/p>\n<div style=\"background-color:#FFFDE7; padding-top: 10px; padding-bottom: 10px; padding-right: 20px; padding-left: 30px; border: 2.5px dashed #FFB74D; border-radius:20px;\"> <span style=\"color:#ff951b\">\u27a4<\/span> <strong>Lihat:<\/strong> <a href=\"https:\/\/statorials.org\/id\/berarti-median-dan-modus\/\">perbedaan antara mean, median dan mode<\/a> <\/div>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"coeficiente-de-asimetria-de-bowley\"><\/span> Koefisien asimetri Bowley<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p> <strong>Koefisien skewness Bowley<\/strong> sama dengan jumlah kuartil ketiga ditambah kuartil pertama dikurangi dua kali median dibagi selisih antara kuartil ketiga dan kuartil pertama. Oleh karena itu rumus koefisien asimetri ini adalah sebagai berikut:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-24abc41ba1a786517a247ed5fa9c3b62_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"A_B=\\cfrac{Q_3+Q_1-2\\cdot Me}{Q_3-Q_1}\" title=\"Rendered by QuickLaTeX.com\" height=\"42\" width=\"187\" style=\"vertical-align: -16px;\"><\/p>\n<\/p>\n<p> Emas<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-2744445ab7dd299c95ac769e920ad8c9_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Q_1\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"20\" style=\"vertical-align: -4px;\"><\/p>\n<p> Dan<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-cbf298d83b612ef6bc223927f80f4431_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Q_3\" title=\"Rendered by QuickLaTeX.com\" height=\"16\" width=\"21\" style=\"vertical-align: -4px;\"><\/p>\n<p> Ini masing-masing adalah kuartil pertama dan ketiga dan<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-bf2deabe8920b42ebbefee4f63393db1_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Me\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"27\" style=\"vertical-align: 0px;\"><\/p>\n<p> adalah median distribusi.<\/p>\n<p> Ingatlah bahwa median suatu distribusi bertepatan dengan kuartil kedua. <\/p>\n<div style=\"background-color:#FFFDE7; padding-top: 10px; padding-bottom: 10px; padding-right: 20px; padding-left: 30px; border: 2.5px dashed #FFB74D; border-radius:20px;\"> <span style=\"color:#ff951b\">\u27a4<\/span> <strong>Lihat:<\/strong> <a href=\"https:\/\/statorials.org\/id\/kuartil\/\">kalkulator kuartil<\/a> <\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%c2%bfpara-que-sirve-la-asimetria-en-estadistica\"><\/span> Apa kegunaan asimetri dalam statistik?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Untuk memahami sepenuhnya arti asimetri dalam statistik, mari kita lihat bagaimana karakteristik suatu distribusi dihitung.<\/p>\n<p> Skewness terutama digunakan untuk mengetahui bentuk suatu distribusi probabilitas, karena dengan menghitung koefisien skewness Anda dapat mengetahui apakah distribusi tersebut merupakan distribusi asimetris negatif, asimetris positif, atau simetris tanpa harus melakukan representasi grafisnya.<\/p>\n<p> Selain itu, skewness, bersama dengan kurtosis, digunakan untuk menentukan apakah suatu kumpulan data dapat mendekati distribusi normal. Dengan kata lain, koefisien skewness dan koefisien kurtosis dihitung untuk memeriksa apakah suatu rangkaian data memenuhi asumsi distribusi normal dan, jika demikian, hal ini terbukti sangat bermanfaat karena menyiratkan bahwa banyak teorema statistik dapat diterapkan. <\/p>\n<div style=\"background-color:#FFFDE7; padding-top: 10px; padding-bottom: 10px; padding-right: 20px; padding-left: 30px; border: 2.5px dashed #FFB74D; border-radius:20px;\"> <span style=\"color:#ff951b\">\u27a4<\/span> <strong>Lihat:<\/strong> <a href=\"https:\/\/statorials.org\/id\/perataan\/\">menyanjung<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artikel ini menjelaskan apa yang dimaksud dengan skewness dalam statistik. Dengan demikian, Anda akan menemukan definisi asimetri dalam statistik, apa saja jenis-jenis asimetri, cara menghitung koefisien asimetri, dan cara menafsirkannya. Apa yang dimaksud dengan asimetri dalam statistik? Dalam statistik, skewness adalah ukuran yang menunjukkan derajat simetri (atau asimetri) suatu distribusi relatif terhadap meannya. Sederhananya, skewness [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u25b7 Asimetri (statistik): makna, jenis, rumus...<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan mengetahui apa itu asimetri dalam statistik, jenis-jenis asimetri, cara menghitung koefisien asimetri (rumus) dan cara menafsirkannya.\" \/>\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\/asimetri-statistik\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Asimetri (statistik): makna, jenis, rumus...\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan mengetahui apa itu asimetri dalam statistik, jenis-jenis asimetri, cara menghitung koefisien asimetri (rumus) dan cara menafsirkannya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/asimetri-statistik\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-05T00:14:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/statistiques-types-dasymetrie.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=\"3 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/asimetri-statistik\/\",\"url\":\"https:\/\/statorials.org\/id\/asimetri-statistik\/\",\"name\":\"\u25b7 Asimetri (statistik): makna, jenis, rumus...\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-05T00:14:23+00:00\",\"dateModified\":\"2023-08-05T00:14:23+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan mengetahui apa itu asimetri dalam statistik, jenis-jenis asimetri, cara menghitung koefisien asimetri (rumus) dan cara menafsirkannya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/asimetri-statistik\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/asimetri-statistik\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/asimetri-statistik\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Asimetri (statistik)\"}]},{\"@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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