{"id":949,"date":"2023-07-28T05:19:18","date_gmt":"2023-07-28T05:19:18","guid":{"rendered":"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/"},"modified":"2023-07-28T05:19:18","modified_gmt":"2023-07-28T05:19:18","slug":"teste-de-grubs-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/","title":{"rendered":"Como executar o testador grubbs em python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>O teste de Grubbs<\/strong> \u00e9 usado para identificar a presen\u00e7a de outliers em um conjunto de dados. Para usar este teste, um conjunto de dados deve ter distribui\u00e7\u00e3o aproximadamente normal e conter pelo menos 7 observa\u00e7\u00f5es.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Este tutorial explica como realizar o teste Grubbs em Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Teste Grubbs em Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Para realizar o teste Grubbs em Python, podemos usar a fun\u00e7\u00e3o smirnov_grubbs() do pacote <a href=\"https:\/\/pypi.org\/project\/outlier_utils\/\" target=\"_blank\" rel=\"noopener noreferrer\">outlier_utils<\/a> , que usa a seguinte sintaxe:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>smirnov_grubbs.test (dados, alfa = 0,05)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>dados:<\/strong> um vetor num\u00e9rico de valores de dados<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>alfa:<\/strong> O n\u00edvel de signific\u00e2ncia a ser usado para o teste. O valor padr\u00e3o \u00e9 0,05<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Para usar esse recurso, voc\u00ea deve primeiro instalar o pacote <a href=\"https:\/\/pypi.org\/project\/outlier_utils\/\" target=\"_blank\" rel=\"noopener noreferrer\">outlier_utils<\/a> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>pip install outlier_utils\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Depois que este pacote estiver instalado, voc\u00ea poder\u00e1 realizar o teste Grubbs. Os exemplos a seguir ilustram como fazer isso.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 1: teste de Grubbs bicaudal<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir ilustra como realizar um teste de Grubbs bicaudal, que detectar\u00e1 valores discrepantes em ambas as extremidades do conjunto de dados.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> outliers <span style=\"color: #008000;\">import<\/span> smirnov_grubbs <span style=\"color: #008000;\">as<\/span> grubbs\n\n<span style=\"color: #008080;\">#define data<\/span>\ndata = np.array([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29, 40])\n\n<span style=\"color: #008080;\">#perform Grubbs' test<\/span>\ngrubbs. <span style=\"color: #3366ff;\">test<\/span> (data, alpha=.05)\n\narray([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Esta fun\u00e7\u00e3o simplesmente retorna um array sem valores discrepantes. Neste caso, o valor m\u00e1ximo de 40 era um valor discrepante e, portanto, foi removido.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 2: teste de Grubbs unilateral<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir demonstra como realizar um teste de Grubbs unilateral para o valor m\u00ednimo e o valor m\u00e1ximo em um conjunto de dados:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> outliers <span style=\"color: #008000;\">import<\/span> smirnov_grubbs <span style=\"color: #008000;\">as<\/span> grubbs\n\n<span style=\"color: #008080;\">#define data<\/span>\ndata = np.array([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29, 40])\n\n<span style=\"color: #008080;\">#perform Grubbs' test to see if minimum value is an outlier<\/span>\ngrubbs. <span style=\"color: #3366ff;\">min_test<\/span> (data, alpha=.05)\n\narray([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29, 40])\n\n<span style=\"color: #008080;\">#perform Grubbs' test to see if minimum value is an outlier\n<\/span>grubbs. <span style=\"color: #3366ff;\">max_test<\/span> (data, alpha=.05)\n\narray([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">O teste de m\u00ednimo outlier n\u00e3o detectou o valor m\u00ednimo como outlier. Entretanto, o teste de valor discrepante m\u00e1ximo determinou que o valor m\u00e1ximo de 40 era um valor discrepante e, portanto, foi removido.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 3: Extraia o \u00edndice do outlier<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir demonstra como extrair o \u00edndice do outlier:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> outliers <span style=\"color: #008000;\">import<\/span> smirnov_grubbs <span style=\"color: #008000;\">as<\/span> grubbs\n\n<span style=\"color: #008080;\">#define data<\/span>\ndata = np.array([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29, 40])\n\n<span style=\"color: #008080;\">#perform Grubbs' test and identify index (if any) of the outlier<\/span>\ngrubbs. <span style=\"color: #3366ff;\">max_test_indices<\/span> (data, alpha=.05)\n\n[16]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Isso nos diz que h\u00e1 um valor discrepante na posi\u00e7\u00e3o 16 do \u00edndice da tabela.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 4: Extraia o valor do outlier<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir demonstra como extrair o valor do valor discrepante:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> outliers <span style=\"color: #008000;\">import<\/span> smirnov_grubbs <span style=\"color: #008000;\">as<\/span> grubbs\n\n<span style=\"color: #008080;\">#define data<\/span>\ndata = np.array([5, 14, 15, 15, 14, 19, 17, 16, 20, 22, 8, 21, 28, 11, 9, 29, 40])\n\n<span style=\"color: #008080;\">#perform Grubbs' test and identify the actual value (if any) of the outlier<\/span>\ngrubbs. <span style=\"color: #3366ff;\">max_test_outliers<\/span> (data, alpha=.05)\n\n[40]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Isso nos diz que h\u00e1 um valor discrepante com valor 40.<\/span><\/p>\n<h3> <strong>Como lidar com outliers<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Se o teste de Grubbs identificar um valor discrepante em seu conjunto de dados, voc\u00ea ter\u00e1 v\u00e1rias op\u00e7\u00f5es:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. Verifique novamente se o valor n\u00e3o \u00e9 um erro de digita\u00e7\u00e3o ou de entrada de dados.<\/strong> \u00c0s vezes, os valores que aparecem como valores discrepantes em conjuntos de dados s\u00e3o simplesmente erros de digita\u00e7\u00e3o cometidos por um indiv\u00edduo durante a entrada de dados. Primeiro, verifique se o valor foi inserido corretamente antes de tomar qualquer outra decis\u00e3o.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. Atribua um novo valor ao valor discrepante<\/strong> . Se o valor discrepante for resultado de um erro de digita\u00e7\u00e3o ou de entrada de dados, voc\u00ea pode decidir atribuir a ele um novo valor, como a m\u00e9dia<\/span> <a href=\"https:\/\/statorials.org\/pt\/mede-a-tendencia-central\/\" target=\"_blank\" rel=\"noopener noreferrer\">ou mediana<\/a> <span style=\"color: #000000;\">do conjunto de dados.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3. Remova o valor discrepante.<\/strong> Se o valor for realmente at\u00edpico, voc\u00ea poder\u00e1 optar por remov\u00ea-lo se ele tiver um impacto significativo em sua an\u00e1lise.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>O teste de Grubbs \u00e9 usado para identificar a presen\u00e7a de outliers em um conjunto de dados. Para usar este teste, um conjunto de dados deve ter distribui\u00e7\u00e3o aproximadamente normal e conter pelo menos 7 observa\u00e7\u00f5es. Este tutorial explica como realizar o teste Grubbs em Python. Teste Grubbs em Python Para realizar o teste Grubbs [&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":[],"class_list":["post-949","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Como realizar o teste Grubbs em Python - Estatologia<\/title>\n<meta name=\"description\" content=\"Uma explica\u00e7\u00e3o simples sobre como realizar o teste Grubbs em Python para detectar valores discrepantes.\" \/>\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\/pt\/teste-de-grubs-python\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como realizar o teste Grubbs em Python - Estatologia\" \/>\n<meta property=\"og:description\" content=\"Uma explica\u00e7\u00e3o simples sobre como realizar o teste Grubbs em Python para detectar valores discrepantes.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T05:19:18+00:00\" \/>\n<meta name=\"author\" content=\"Dr. benjamim anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr. benjamim anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo estimado de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/\",\"url\":\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/\",\"name\":\"Como realizar o teste Grubbs em Python - Estatologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-28T05:19:18+00:00\",\"dateModified\":\"2023-07-28T05:19:18+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Uma explica\u00e7\u00e3o simples sobre como realizar o teste Grubbs em Python para detectar valores discrepantes.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/teste-de-grubs-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como executar o testador grubbs em python\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pt\/#website\",\"url\":\"https:\/\/statorials.org\/pt\/\",\"name\":\"Statorials\",\"description\":\"O seu guia para a literacia estat\u00edstica!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pt\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pt-PT\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\",\"name\":\"Dr. benjamim anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-PT\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr. benjamim anderson\"},\"description\":\"Ol\u00e1, sou Benjamin, um professor aposentado de estat\u00edstica que se tornou professor dedicado na Statorials. 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