{"id":2297,"date":"2023-07-22T21:28:24","date_gmt":"2023-07-22T21:28:24","guid":{"rendered":"https:\/\/statorials.org\/pt\/intervalo-de-confianca-planilhas-do-google\/"},"modified":"2023-07-22T21:28:24","modified_gmt":"2023-07-22T21:28:24","slug":"intervalo-de-confianca-planilhas-do-google","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/intervalo-de-confianca-planilhas-do-google\/","title":{"rendered":"Como calcular intervalos de confian\u00e7a no planilhas google"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Um <strong>intervalo de confian\u00e7a para uma m\u00e9dia<\/strong> \u00e9 um intervalo de valores que provavelmente cont\u00e9m uma m\u00e9dia populacional com um certo n\u00edvel de confian\u00e7a.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u00c9 calculado da seguinte forma:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Intervalo de confian\u00e7a =<\/strong> <strong><span style=\"text-decoration: overline;\">x<\/span> +\/- t*(s\/\u221a <span style=\"border-top: 1px solid black;\">n<\/span> )<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong><span style=\"text-decoration: overline;\">x<\/span> :<\/strong> m\u00e9dia amostral<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>t:<\/strong> valor t que corresponde ao n\u00edvel de confian\u00e7a<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>s:<\/strong> desvio padr\u00e3o da amostra<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n:<\/strong> tamanho da amostra<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Este tutorial explica como calcular intervalos de confian\u00e7a no Planilhas Google.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Intervalos de confian\u00e7a usando a distribui\u00e7\u00e3o t<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Se estivermos trabalhando com uma amostra pequena (n &lt;30), podemos usar a distribui\u00e7\u00e3o t para calcular um intervalo de confian\u00e7a para uma m\u00e9dia populacional.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Por exemplo, suponha que queiramos calcular um intervalo de confian\u00e7a para a verdadeira altura m\u00e9dia da popula\u00e7\u00e3o (em polegadas) de uma determinada esp\u00e9cie de planta, usando uma amostra de 15 plantas:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20895 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/confgoogle1.png\" alt=\"\" width=\"557\" height=\"466\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Primeiro, podemos calcular a m\u00e9dia amostral, o desvio padr\u00e3o amostral e o tamanho da amostra:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20896 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/confgoogle2.png\" alt=\"\" width=\"573\" height=\"445\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Ent\u00e3o podemos usar as seguintes f\u00f3rmulas para calcular o limite inferior e superior do intervalo de confian\u00e7a de 95%:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-20897\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/confgoogle3.png\" alt=\"intervalo de confian\u00e7a no Planilhas Google\" width=\"673\" height=\"395\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">O intervalo de confian\u00e7a de 95% para o verdadeiro tamanho m\u00e9dio da popula\u00e7\u00e3o \u00e9 <strong>(13,877, 19,457)<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Intervalos de confian\u00e7a usando a distribui\u00e7\u00e3o normal<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Se trabalharmos com amostras maiores (n\u226530), podemos assumir que a distribui\u00e7\u00e3o amostral da m\u00e9dia amostral \u00e9 normalmente distribu\u00edda gra\u00e7as ao <a href=\"https:\/\/statorials.org\/pt\/teorema-do-limite-central\/\" target=\"_blank\" rel=\"noopener\">teorema do limite central<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Isso significa que podemos usar a fun\u00e7\u00e3o <strong>NORM.S.INV()<\/strong> para calcular o valor cr\u00edtico a ser usado para o intervalo de confian\u00e7a.<\/span><\/p>\n<p> <span style=\"color: #000000;\">O exemplo a seguir mostra como calcular um intervalo de confian\u00e7a para a altura m\u00e9dia real da popula\u00e7\u00e3o (em polegadas) de uma determinada esp\u00e9cie de planta, usando uma amostra de 30 plantas:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20898 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/confgoogle4.png\" alt=\"\" width=\"671\" height=\"632\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">O intervalo de confian\u00e7a de 95% para o verdadeiro tamanho m\u00e9dio da popula\u00e7\u00e3o \u00e9 <strong>(20,571, 26,429)<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Observe que n\u00edveis de confian\u00e7a mais elevados levam a intervalos de confian\u00e7a mais amplos. Por exemplo, veja como calcular um IC de 99% para exatamente os mesmos dados:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20899 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/confgoogle5.png\" alt=\"\" width=\"662\" height=\"414\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">O intervalo de confian\u00e7a de 99% para o verdadeiro tamanho m\u00e9dio da popula\u00e7\u00e3o \u00e9 <strong>(19,650, 27,350)<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Observe que esse intervalo de confian\u00e7a de 99% \u00e9 maior que o intervalo de confian\u00e7a de 95% calculado anteriormente.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Relacionado:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/pt\/nivel-de-confianca-vs-intervalo-de-confianca\/\" target=\"_blank\" rel=\"noopener\">N\u00edvel de confian\u00e7a vs. Intervalo de confian\u00e7a: qual \u00e9 a diferen\u00e7a?<\/a><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Recursos adicionais<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Os tutoriais a seguir explicam como calcular intervalos de confian\u00e7a usando outro software estat\u00edstico:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pt\/intervalos-de-confianca-excel\/\" target=\"_blank\" rel=\"noopener\">Como calcular intervalos de confian\u00e7a no Excel<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/intervalo-de-confianca-em-r\/\" target=\"_blank\" rel=\"noopener\">Como calcular intervalos de confian\u00e7a em R<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/intervalos-de-confianca-python\/\" target=\"_blank\" rel=\"noopener\">Como calcular intervalos de confian\u00e7a em Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Um intervalo de confian\u00e7a para uma m\u00e9dia \u00e9 um intervalo de valores que provavelmente cont\u00e9m uma m\u00e9dia populacional com um certo n\u00edvel de confian\u00e7a. \u00c9 calculado da seguinte forma: Intervalo de confian\u00e7a = x +\/- t*(s\/\u221a n ) Ouro: x : m\u00e9dia amostral t: valor t que corresponde ao n\u00edvel de confian\u00e7a s: desvio padr\u00e3o [&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-2297","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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