{"id":266,"date":"2023-08-03T09:45:18","date_gmt":"2023-08-03T09:45:18","guid":{"rendered":"https:\/\/statorials.org\/id\/nilai-kritis\/"},"modified":"2023-08-03T09:45:18","modified_gmt":"2023-08-03T09:45:18","slug":"nilai-kritis","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/nilai-kritis\/","title":{"rendered":"Nilai kritis"},"content":{"rendered":"<p>Artikel ini menjelaskan apa itu nilai kritis dalam statistik dan bagaimana interpretasinya dalam pengujian hipotesis. Demikian pula, Anda akan dapat melihat bagaimana nilai kritis dihitung serta beberapa contoh nyata. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%c2%bfque-es-el-valor-critico\"><\/span>Apa yang dimaksud dengan nilai kritis?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> <strong>Nilai kritis<\/strong> merupakan titik distribusi statistik uji yang memisahkan daerah penolakan hipotesis nol dari daerah penerimaannya. Dengan kata lain, nilai kritis adalah nilai sebaran uji statistik yang menandai batas daerah penolakan (atau daerah kritis).<\/p>\n<p> Biasanya, nilai kritis diwakili oleh simbol Z <sub>\u03b1\/2<\/sub> , karena distribusi acuan yang paling umum biasanya adalah <a href=\"https:\/\/statorials.org\/id\/distribusi-standar-normal\/\">distribusi normal standar<\/a> .<\/p>\n<p> Secara umum, pengujian satu sisi mempunyai nilai kritis, karena daerah penolakan merupakan satu ekor distribusi. Di sisi lain, pengujian dua sisi mempunyai dua nilai kritis, karena daerah penolakan berhubungan dengan kedua sisi distribusi.<\/p>\n<p> Dalam <a href=\"https:\/\/statorials.org\/id\/interval-kepercayaan\/\">interval kepercayaan<\/a> , nilai kritis adalah titik-titik dalam distribusi referensi yang menandai batas interval kepercayaan. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"como-calcular-el-valor-critico\"><\/span> Cara menghitung nilai kritis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Kita kemudian akan melihat bagaimana nilai kritis yang paling umum dihitung. Nilai kritis Z dan nilai kritis t dihitung untuk interval kepercayaan mean, satu-satunya perbedaan adalah nilai kritis Z dihitung ketika simpangan baku populasi diketahui, dan sebagai gantinya digunakan nilai kritis t. ketika hanya data untuk satu sampel yang diketahui.<\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"valor-critico-de-z\"><\/span> Nilai kritis Z<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p> Nilai kritis Z digunakan untuk menentukan batas interval kepercayaan mean. Lebih tepatnya, ini hanya digunakan jika Anda mengetahui simpangan baku populasi.<\/p>\n<p> Untuk <strong>menghitung nilai kritis Z,<\/strong> nilai yang sesuai dengan probabilitas setengah tingkat signifikansi harus ditemukan dalam <a href=\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\">tabel distribusi normal standar<\/a> .<\/p>\n<p> Misalnya, jika kita ingin menentukan selang kepercayaan untuk mean dengan tingkat kepercayaan 95%, berarti tingkat signifikansinya adalah 5%. Oleh karena itu, perlu dilihat pada tabel distribusi normal standar yang nilainya sesuai dengan probabilitas 2,5%, karena selang kepercayaan untuk mean adalah dua sisi.<\/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-776a555edd1d064cf29a3a354caa5325_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"1-\\alpha=0,95 \\ \\color{orange}\\bm{\\longrightarrow}\\color{black} \\ \\alpha=0,05 \\ \\color{orange}\\bm{\\longrightarrow}\\color{black}\\ \\alpha\/2=0,025\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"534\" style=\"vertical-align: -5px;\"><\/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-54dda39d0da5b29f2d25728b89565859_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\begin{array}{c}Z_{\\alpha\/2}= \\ \\color{orange}\\bm{?}\\\\[4ex]Z_{0,025}=1,96\\end{array}\" title=\"Rendered by QuickLaTeX.com\" height=\"71\" width=\"127\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<p> Di bawah ini Anda dapat melihat tabel dengan nilai Z kritis yang paling banyak digunakan: <\/p>\n<figure class=\"wp-block-table is-style-stripes\">\n<table>\n<thead>\n<tr>\n<th class=\"has-text-align-center\" data-align=\"center\"> Tingkat kepercayaan (1-\u03b1)<\/th>\n<th class=\"has-text-align-center\" data-align=\"center\"> Tingkat signifikansi (\u03b1)<\/th>\n<th class=\"has-text-align-center\" data-align=\"center\"> Nilai kritis (Z <sub>\u03b1\/2<\/sub> )<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,80<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,20<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 1.282<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,85<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,15<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 1.440<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,90<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,10<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 1.645<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,95<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,05<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 1960<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,99<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,01<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 2.576<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,995<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,005<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 2.807<\/td>\n<\/tr>\n<tr>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,999<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 0,001<\/td>\n<td class=\"has-text-align-center\" data-align=\"center\"> 3.291 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"valor-critico-de-t\"><\/span> Nilai kritis t<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p> Nilai t kritis digunakan untuk mencari batas interval kepercayaan mean ketika simpangan baku populasi tidak diketahui.<\/p>\n<p> Untuk <strong>menghitung nilai kritis t,<\/strong> nilai probabilitas setengah tingkat signifikansi harus dicari pada <a href=\"https:\/\/statorials.org\/id\/tabel-distribusi-t-siswa\/\">tabel distribusi t Student<\/a> , dengan memperhatikan bahwa derajat kebebasan distribusi t Student adalah satuan. daripada ukuran sampel.<\/p>\n<p> Misalnya, jika kita ingin mencari interval kepercayaan dengan tingkat kepercayaan 95% dan ukuran sampel adalah 8, kita perlu mengakses tabel distribusi t Student dan melihat nilai mana yang sesuai dengan t <sub>0.025|7<\/sub> . <\/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-776a555edd1d064cf29a3a354caa5325_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"1-\\alpha=0,95 \\ \\color{orange}\\bm{\\longrightarrow}\\color{black} \\ \\alpha=0,05 \\ \\color{orange}\\bm{\\longrightarrow}\\color{black}\\ \\alpha\/2=0,025\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"534\" style=\"vertical-align: -5px;\"><\/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-2caa8c4576ebc261acfdb1341dc4567d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\begin{array}{c}t_{\\alpha\/2| n-1}= \\ \\color{orange}\\bm{?}\\\\[4ex]t_{0,025| 7}=2,365\\end{array}\" title=\"Rendered by QuickLaTeX.com\" height=\"72\" width=\"152\" style=\"vertical-align: 0px;\"><\/p>\n<\/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\/interval-kepercayaan-untuk-mean\/\">Cara menghitung interval kepercayaan mean<\/a> <\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"el-valor-critico-en-el-contraste-de-hipotesis\"><\/span> Nilai kritis dalam pengujian hipotesis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Nilai kritis juga dapat digunakan dalam pengujian hipotesis untuk menolak hipotesis nol (dan menerima hipotesis alternatif) atau menolak hipotesis alternatif (dan menerima hipotesis nol).<\/p>\n<ul style=\"color:#FF8A05; font-weight: bold;\">\n<li style=\"margin-bottom:22px\"> <span style=\"color:#101010;font-weight: normal;\">Jika nilai distribusi statistik uji yang sesuai dengan nilai p terletak pada interval yang ditandai dengan nilai kritis, maka hipotesis nol tidak ditolak (hipotesis alternatif ditolak).<\/span><\/li>\n<li style=\"margin-bottom:22px\"> <span style=\"color:#101010;font-weight: normal;\">Jika nilai distribusi statistik uji yang sesuai dengan nilai p berada di luar interval yang ditandai dengan nilai kritis, maka hipotesis nol ditolak (hipotesis alternatif diterima).<\/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\/hypothese-de-contraste-de-valeur-p-critique.png\" alt=\"nilai kritis\" class=\"wp-image-5474\" width=\"442\" height=\"496\" srcset=\"\" sizes=\"\"><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Artikel ini menjelaskan apa itu nilai kritis dalam statistik dan bagaimana interpretasinya dalam pengujian hipotesis. Demikian pula, Anda akan dapat melihat bagaimana nilai kritis dihitung serta beberapa contoh nyata. Apa yang dimaksud dengan nilai kritis? Nilai kritis merupakan titik distribusi statistik uji yang memisahkan daerah penolakan hipotesis nol dari daerah penerimaannya. Dengan kata lain, nilai [&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 Nilai kritis (statistik)<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.\" \/>\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\/nilai-kritis\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Nilai kritis (statistik)\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/nilai-kritis\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-03T09:45:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-776a555edd1d064cf29a3a354caa5325_l3.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\/nilai-kritis\/\",\"url\":\"https:\/\/statorials.org\/id\/nilai-kritis\/\",\"name\":\"\u25b7 Nilai kritis (statistik)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-03T09:45:18+00:00\",\"dateModified\":\"2023-08-03T09:45:18+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/nilai-kritis\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/nilai-kritis\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/nilai-kritis\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Nilai kritis\"}]},{\"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u25b7 Nilai kritis (statistik)","description":"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/nilai-kritis\/","og_locale":"id_ID","og_type":"article","og_title":"\u25b7 Nilai kritis (statistik)","og_description":"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.","og_url":"https:\/\/statorials.org\/id\/nilai-kritis\/","og_site_name":"Statorials","article_published_time":"2023-08-03T09:45:18+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-776a555edd1d064cf29a3a354caa5325_l3.png"}],"author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"2 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/nilai-kritis\/","url":"https:\/\/statorials.org\/id\/nilai-kritis\/","name":"\u25b7 Nilai kritis (statistik)","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-08-03T09:45:18+00:00","dateModified":"2023-08-03T09:45:18+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Di sini Anda akan mengetahui apa itu nilai kritis dalam statistik, cara menghitungnya, dan bagaimana nilai kritis harus ditafsirkan dalam uji hipotesis.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/nilai-kritis\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/nilai-kritis\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/nilai-kritis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Nilai kritis"}]},{"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/266"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=266"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/266\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=266"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=266"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}