{"id":437,"date":"2023-07-29T22:51:45","date_gmt":"2023-07-29T22:51:45","guid":{"rendered":"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/"},"modified":"2023-07-29T22:51:45","modified_gmt":"2023-07-29T22:51:45","slug":"kalkulator-tes-bartletts","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/","title":{"rendered":"Kalkulator tes bartlett"},"content":{"rendered":"<p><script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/mathjs\/5.1.1\/math.js\"><\/script><script src=\"https:\/\/cdn.jsdelivr.net\/npm\/jstat@latest\/dist\/jstat.min.js\"><\/script><script type=\"text\/javascript\" src=\"https:\/\/www.Statorials.org\/wp-content\/themes\/wisteria\/mannwhitneyu.js\"><\/script><\/p>\n<style>\n@import url('https:\/\/fonts.googleapis.com\/css?family=Droid+Serif|Raleway');<\/p>\n<p>.axis--y .domain {\n  display: none;\n}<\/p>\n<p>h1 {\ntext-align: center;\nfont-size: 50px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>p {\ncolor: black;\ntext-align: center;\nmargin-bottom: 15px;\nmargin-top: 15px;\nfont-family: 'Raleway', sans-serif;\n}<\/p>\n<p>#words {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 100px;\n}<\/p>\n<p>#words_text {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#words_text_area {\ndisplay:inline-block;\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 100px;\n}<\/p>\n<p>#calcTitle {\ntext-align: center;\nfont-size: 20px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>#hr_top {\nwidth: 30%;\nmargin-bottom: 0px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#hr_bottom {\nwidth: 30%;\nmargin-top: 15px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#words label, input {\n    display: inline-block;\n    vertical-align: baseline;\n    width: 350px;\n}<\/p>\n<p>    #button {\n      border: 1px solid;\n      border-radius: 10px;\n      margin-top: 20px;\n      padding: 10px 10px;\n      cursor: pointer;\n      outline: none;\n      background-color: white;\n      color: black;\n      font-family: 'Work Sans', sans-serif;\n      border: 1px solid grey;\n      \/* Green *\/\n    }<\/p>\n<p>    #button:hover {\n      background-color: #f6f6f6;\n      border: 1px solid black;\n    }<\/p>\n<p>\t.label_radio {\n\ttext-align: center;\n    }<\/p>\n<p>td, tr, th {\n    border: 1px solid black;\n}\ntable {\n    border-collapse: collapse;\n}\ntd, th {\n    min-width: 50px;\n    height: 21px;\n}\n.table_span_x, .table_span_y {\n    width: 100%;\n    display: block;\n}<\/p>\n<p>#words_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 350px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 20px;\n}<\/p>\n<p>#summary_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 20px;\n}<\/p>\n<p>    .label_radio {\n\ttext-align: center;\n}<\/p>\n<p>#text_area_input {\n\tpadding-left: 5%;\n\tfloat: left;\n}<\/p>\n<p>textarea, textarea:focus {\n\tmargin-right: 5px;\n\twidth: 85px;\n\toutline: 1px solid #aeaeae;\n}\n<\/style>\n<div id=\"words_text\">\n<p style=\"text-align: left\"><b>Uji Bartlett<\/b> digunakan untuk menguji apakah sampel berasal dari populasi dengan varian yang sama. Beberapa uji statistik, seperti <a href=\"https:\/\/statorials.org\/id\/anova-satu-arah\/\" target=\"_blank\" rel=\"noopener\">ANOVA satu arah<\/a> , mengasumsikan bahwa varians antar sampel adalah sama. Uji Bartlett dapat digunakan untuk memverifikasi hipotesis ini.<\/p>\n<p style=\"text-align: left\"> Untuk melakukan tes Bartlett hingga lima sampel, cukup masukkan nilai data di bawah ini dan klik tombol \u201cHitung\u201d. Statistik uji dan nilai p yang sesuai akan disajikan di bawah ini. Nilai p yang kurang dari 0,05 merupakan bukti kuat bahwa varians antar sampel tidak sama.<\/p>\n<\/div>\n<div id=\"words_text\">\n<div id=\"text_area_input\"> Contoh 1 || Contoh 2 || Contoh 3 || Contoh 4 || Contoh 5 <\/div>\n<div id=\"text_area_input\"><textarea id=\"a\" name=\"a\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"b\" name=\"b\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"c\" name=\"c\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"d\" name=\"d\" rows=\"15\" cols=\"4\"><\/textarea><textarea id=\"e\" name=\"e\" rows=\"15\" cols=\"4\"><\/textarea><\/div>\n<\/div>\n<div id=\"words\"><input type=\"button\" id=\"button\" onclick=\"calc()\" value=\"Calculate\"><\/div>\n<div>\n<p><span id=\"B\"><\/span><\/p>\n<\/div>\n<div>\n<p><span id=\"p\"><\/span><\/p>\n<\/div>\n<p><script><\/p>\n<p>\/\/create function that performs t test calculations\nfunction calc() {<\/p>\n<p>\/\/define addition function\n\t\tfunction add(a, b) {\n\t\t    return a + b;\n\t\t}<\/p>\n<p>\/\/get raw data\n    \/\/group a\n    \/\/    var values_a_input = document.getElementsByClassName('a');\n\t\/\/var values_a_array = [];\n\t\/\/for (var i = 0; i < values_a_input.length; i++) {\n    \/\/  \tvalues_a_array[i] = values_a_input[i].innerText;\n    \/\/    }\n\t\/\/values_a_array = values_a_array.filter(n => n);\n\t\/\/var group_a = values_a_array.map(Number);\n\tif(document.getElementById(\"a\").value == '') {\n\t    var group_a = '';\n\t} else {\n\t    var group_a = document.getElementById('a').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"b\").value == '') {\n\t    var group_b = '';\n\t} else {\n\t    var group_b = document.getElementById('b').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"c\").value == '') {\n\t    var group_c = '';\n\t} else {\n\t    var group_c = document.getElementById('c').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"d\").value == '') {\n\t    var group_d = '';\n\t} else {\n\t    var group_d = document.getElementById('d').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tif(document.getElementById(\"e\").value == '') {\n\t    var group_e = '';\n\t} else {\n\t    var group_e = document.getElementById('e').value.match(\/\\d+\/g).map(Number);\n\t}<\/p>\n<p>\tvar all_groups = (group_a.concat(group_b, group_c, group_d, group_e)).filter(n => n);<\/p>\n<p>\t\/\/get summary stats of each group\n\tif (group_a.length > 0) { var mean_group_a = math.mean(group_a); };\n\tif (group_b.length > 0) { var mean_group_b = math.mean(group_b); };\n\tif (group_c.length > 0) { var mean_group_c = math.mean(group_c); };\n\tif (group_d.length > 0) { var mean_group_d = math.mean(group_d); };\n\tif (group_e.length > 0) { var mean_group_e = math.mean(group_e); };<\/p>\n<p>\tif (group_a.length > 0) { var var_group_a = math.var(group_a); };\n\tif (group_b.length > 0) { var var_group_b = math.var(group_b); };\n\tif (group_c.length > 0) { var var_group_c = math.var(group_c); };\n\tif (group_d.length > 0) { var var_group_d = math.var(group_d); };\n\tif (group_e.length > 0) { var var_group_e = math.var(group_e); };<\/p>\n<p>\tif (group_a.length > 0) { var lnvar_group_a = Math.log(var_group_a); } else { var lnvar_group_a = 0;};\n\tif (group_b.length > 0) { var lnvar_group_b = Math.log(var_group_b); } else { var lnvar_group_b = 0;};\n\tif (group_c.length > 0) { var lnvar_group_c = Math.log(var_group_c); } else { var lnvar_group_c = 0;};\n\tif (group_d.length > 0) { var lnvar_group_d = Math.log(var_group_d); } else { var lnvar_group_d = 0;};\n\tif (group_e.length > 0) { var lnvar_group_e = Math.log(var_group_e); } else { var lnvar_group_e = 0;};<\/p>\n<p>\tif (group_a.length > 0) { var df_group_a = group_a.length-1; } else { var df_group_a = 0;};\n\tif (group_b.length > 0) { var df_group_b = group_b.length-1; } else { var df_group_b = 0;};\n\tif (group_c.length > 0) { var df_group_c = group_c.length-1; } else { var df_group_c = 0;};\n\tif (group_d.length > 0) { var df_group_d = group_d.length-1; } else { var df_group_d = 0;};\n\tif (group_e.length > 0) { var df_group_e = group_e.length-1; } else { var df_group_e = 0;};<\/p>\n<p>\tvar total_df = [df_group_a, df_group_b, df_group_c, df_group_d, df_group_e].reduce(add, 0);\n\tvar total_df1 = 1 \/ total_df;<\/p>\n<p>\tvar lnvar_array = [lnvar_group_a, lnvar_group_b, lnvar_group_c, lnvar_group_d, lnvar_group_e];\n\tvar df_array = [df_group_a, df_group_b, df_group_c, df_group_d, df_group_e];\n\tvar lnvar_df_array = []\n\tfor (var i = 0; i < lnvar_array.length; i++) {\n\t    lnvar_df_array.push(lnvar_array[i] * df_array[i]);\n\t}\n\t\n\tvar sum_lnvar_df_array = lnvar_df_array.reduce(add, 0);\n\t\n\tif (group_a.length > 0) { var flag_group_a = 1; } else { var flag_group_a = 0;};\n\tif (group_b.length > 0) { var flag_group_b = 1; } else { var flag_group_b = 0;};\n\tif (group_c.length > 0) { var flag_group_c = 1; } else { var flag_group_c = 0;};\n\tif (group_d.length > 0) { var flag_group_d = 1; } else { var flag_group_d = 0;};\n\tif (group_e.length > 0) { var flag_group_e = 1; } else { var flag_group_e = 0;};<\/p>\n<p>\tif (group_a.length > 0) { var df1_group_a = 1\/df_group_a; } else { var df1_group_a = 0;};\n\tif (group_b.length > 0) { var df1_group_b = 1\/df_group_b; } else { var df1_group_b = 0;};\n\tif (group_c.length > 0) { var df1_group_c = 1\/df_group_c; } else { var df1_group_c = 0;};\n\tif (group_d.length > 0) { var df1_group_d = 1\/df_group_d; } else { var df1_group_d = 0;};\n\tif (group_e.length > 0) { var df1_group_e = 1\/df_group_e; } else { var df1_group_e = 0;};<\/p>\n<p>\tvar df1_array = [df1_group_a, df1_group_b, df1_group_c, df1_group_d, df1_group_e];\n\tvar df1_array_sum = df1_array.reduce(add, 0);<\/p>\n<p>\tvar treatments = [flag_group_a, flag_group_b, flag_group_c, flag_group_d, flag_group_e].reduce(add, 0) - 1;<\/p>\n<p>\tif (treatments == 1) {\n    \tvar total_var = jStat.pooledvariance([group_a, group_b]);\n    \tvar total_lnvar = Math.log(total_var);\n\t} else if (treatments == 2) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c]);\n\t   var total_lnvar = Math.log(total_var);\n\t} else if (treatments == 3) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c, group_d]);\n\t   var total_lnvar = Math.log(total_var);\n\t} else if (treatments == 4) {\n\t   var total_var = jStat.pooledvariance([group_a, group_b, group_c, group_d, group_e]);\n\t   var total_lnvar = Math.log(total_var);\n\t}\n\/\/calculate test statistic\n    var b_numerator = total_df * total_lnvar - sum_lnvar_df_array;\n    var b_denominator = 1 - (-1 \/ (3*treatments)) * (df1_array_sum - total_df1);\n    var b = b_numerator \/ b_denominator;\n    var p = 1 - jStat.chisquare.cdf(b, treatments);\nconsole.log(df1_array, lnvar_array, total_df, total_var, total_lnvar, total_df1);\n\/\/output results\ndocument.getElementById('B').innerHTML = \"Test Statistic B: \" + b.toFixed(5);\ndocument.getElementById('p').innerHTML = \"p-value: \" + p.toFixed(5);\n}<\/p>\n<p><\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uji Bartlett digunakan untuk menguji apakah sampel berasal dari populasi dengan varian yang sama. Beberapa uji statistik, seperti ANOVA satu arah , mengasumsikan bahwa varians antar sampel adalah sama. Uji Bartlett dapat digunakan untuk memverifikasi hipotesis ini. Untuk melakukan tes Bartlett hingga lima sampel, cukup masukkan nilai data di bawah ini dan klik tombol \u201cHitung\u201d. [&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>Kalkulator Tes Bartlett - Statorial<\/title>\n<meta name=\"description\" content=\"Kalkulator ini menjalankan uji Bartlett, yang digunakan untuk memeriksa apakah sampel berasal dari populasi dengan varian yang sama.\" \/>\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\/kalkulator-tes-bartletts\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kalkulator Tes Bartlett - Statorial\" \/>\n<meta property=\"og:description\" content=\"Kalkulator ini menjalankan uji Bartlett, yang digunakan untuk memeriksa apakah sampel berasal dari populasi dengan varian yang sama.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T22:51:45+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<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/\",\"url\":\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/\",\"name\":\"Kalkulator Tes Bartlett - Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T22:51:45+00:00\",\"dateModified\":\"2023-07-29T22:51:45+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Kalkulator ini menjalankan uji Bartlett, yang digunakan untuk memeriksa apakah sampel berasal dari populasi dengan varian yang sama.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-tes-bartletts\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Kalkulator tes bartlett\"}]},{\"@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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