{"id":2572,"date":"2024-10-04T10:57:08","date_gmt":"2024-10-04T10:57:08","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=2572"},"modified":"2026-04-03T16:28:27","modified_gmt":"2026-04-03T16:28:27","slug":"gcc1625","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/gcc1625\/","title":{"rendered":"GCC1625 &#8211; Infer\u00eancia Estat\u00edstica (2026.1)"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"blob:https:\/\/eic.cefet-rj.br\/59ae9eb3-e159-48da-aeb8-d9f85be2f35c\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2025\/03\/1525193963646-1.gif\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"311\" src=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2025\/03\/1525193963646-1.gif\" alt=\"\" class=\"wp-image-2672\"\/><\/a><\/figure>\n\n\n<h3>Local\/Hor\u00e1rio<\/h3>\n<ul>\n<li>Local: Sala 2 (Pavilh\u00e3o I)<\/li>\n<li>Dia\/hor\u00e1rio: 3\u2060\u1d43\u02e2-feiras, das 14h35 \u00e0s 16h15<\/li>\n<\/ul>\n<hr \/>\n<h3>Objetivos<\/h3>\n<p>Esta disciplina apresenta conceitos relacionados \u00e0 tarefa de realizar infer\u00eancias sobre caracter\u00edsticas de uma popula\u00e7\u00e3o no contexto em que n\u00e3o \u00e9 poss\u00edvel analisar todos os elementos dessa popula\u00e7\u00e3o, mas apenas uma amostra (ou um punhado delas). S\u00e3o apresentados modelos matem\u00e1ticos e estat\u00edsticos usados na compreens\u00e3o dos fen\u00f4menos que ocorrem na natureza. \u00c9 tamb\u00e9m prop\u00f3sito do curso capacitar o discente a trabalhar com modelos abstratos e compreender os avan\u00e7os tecnol\u00f3gicos obtidos por meio da utiliza\u00e7\u00e3o\/formula\u00e7\u00e3o de modelos estat\u00edsticos.<\/p>\n<hr \/>\n<h3>Ementa<\/h3>\n<p>Conceitos introdut\u00f3rios. Distribui\u00e7\u00f5es amostrais. Teorema do Limite Central e Lei dos Grandes N\u00fameros. M\u00e9todos de estima\u00e7\u00e3o intervalar. Testes de hip\u00f3teses em amostra \u00fanica. Testes de hip\u00f3teses em duas amostras. Testes de normalidade. M\u00e9todos de estima\u00e7\u00e3o pontual. An\u00e1lise de vari\u00e2ncia (ANOVA), Test Qui-quadrado. Testes n\u00e3o-param\u00e9tricos. Regress\u00e3o. Estat\u00edstica causal.<\/p>\n<p>Veja o <a href=\"https:\/\/eic.cefet-rj.br\/portal\/wp-content\/uploads\/INFERENCIA-ESTATISTICA-GCC1625.pdf\" target=\"_blank\" rel=\"noopener\">plano de ensino<\/a> da disciplina.<\/p>\n<hr \/>\n<h3>\u00a0Aulas<\/h3>\n<p>Veja o <a href=\"https:\/\/www.cefet-rj.br\/index.php\/calendarios\">calend\u00e1rio acad\u00eamico das gradua\u00e7\u00f5es<\/a> do CEFET\/RJ.<\/p>\n<table style=\"border: 1px solid #cccccc; width: 100%; border-collapse: collapse;\"><colgroup> <col style=\"width: 15%;\" \/> <col style=\"width: 85%;\" \/> <\/colgroup>\n<tbody>\n<tr>\n<td style=\"border: 1px solid #cccccc;\"><b>Data<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Conte\u00fado<\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">24\/fev<\/td>\n<td style=\"border: 1px solid #cccccc;\">Apresenta\u00e7\u00e3o do curso<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">03\/mar<\/td>\n<td style=\"border: 1px solid #cccccc;\">Conceitos iniciais: planos amostrais, estimadores, vi\u00e9s e precis\u00e3o<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">10\/mar<\/td>\n<td style=\"border: 1px solid #cccccc;\">Distribui\u00e7\u00f5es amostrais + TCL<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">17\/mar<\/td>\n<td style=\"border: 1px solid #cccccc;\"><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/gcc1625\/blob\/main\/notas_aula\/GCC1625_03_estimacao_intervalar.pdf\">Estimativa intervalar<\/a>: IC para m\u00e9dia (n&gt;30) + IC para propor\u00e7\u00e3o (n&gt;3)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">24\/mar<\/td>\n<td style=\"border: 1px solid #cccccc;\"><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/gcc1625\/blob\/main\/notas_aula\/GCC1625_03_estimacao_intervalar.pdf\">Estimativa intervalar<\/a>: Tamanho de amostra (n&gt;30)\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">31\/mar<\/td>\n<td style=\"border: 1px solid #cccccc;\"><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/gcc1625\/blob\/main\/notas_aula\/GCC1625_03_estimacao_intervalar.pdf\">Estima\u00e7\u00e3o intervalar<\/a>: IC para m\u00e9dia (n&lt;30)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">07\/abr<\/td>\n<td style=\"border: 1px solid #cccccc;\"><strong>Teste 1 (30 minutos iniciais)<\/strong><br \/><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/gcc1625\/blob\/main\/notas_aula\/GCC1625_04_testes_de_hipoteses.pdf\">Testes de hip\u00f3teses<\/a>: Introdu\u00e7\u00e3o + z-teste<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">14\/abr<\/td>\n<td style=\"border: 1px solid #cccccc;\"><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/gcc1625\/blob\/main\/notas_aula\/GCC1625_04_testes_de_hipoteses.pdf\">Testes de hip\u00f3teses<\/a>: t-testes e testes para duas amostras<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">21\/abr<\/td>\n<td style=\"border: 1px solid #cccccc;\"><em>Feriado nacional \u2014 Tiradentes<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">28\/abr<\/td>\n<td style=\"border: 1px solid #cccccc;\">ANOVA + Qui-quadrado<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">05\/mai<\/td>\n<td style=\"border: 1px solid #cccccc;\">Teste de permuta\u00e7\u00e3o + Bootstrap<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">12\/mai<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regress\u00e3o linear \u2014 introdu\u00e7\u00e3o<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">19\/mai<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regress\u00e3o \u2014 interpreta\u00e7\u00e3o<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">26\/mai<\/td>\n<td style=\"border: 1px solid #cccccc;\">Diferen\u00e7a-em-Diferen\u00e7as<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">02\/jun<\/td>\n<td style=\"border: 1px solid #cccccc;\">Propensity Score Matching<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">09\/jun<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regress\u00e3o Descont\u00ednua<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">16\/jun<\/td>\n<td style=\"border: 1px solid #cccccc;\"><strong>Teste 2 (30 minutos iniciais)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">07\/jul<\/td>\n<td style=\"border: 1px solid #cccccc;\"><strong>Exame Final<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>V\u00eddeos TED Relevantes<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.ted.com\/talks\/mona_chalabi_3_ways_to_spot_a_bad_statistic\">3 ways to spot a bad statistic<\/a>, Mona Chalabi.<\/li>\n<li><a href=\"https:\/\/www.ted.com\/talks\/hans_rosling_shows_the_best_stats_you_ve_ever_seen\">The best stats you&#8217;ve ever seen<\/a>, Hans Rosling.<\/li>\n<li><a href=\"https:\/\/www.ted.com\/talks\/alan_smith_why_we_re_so_bad_at_statistics\">Why you should love statistics<\/a>, Alan Smith.<\/li>\n<li><a href=\"https:\/\/www.ted.com\/talks\/anne_milgram_why_smart_statistics_are_the_key_to_fighting_crime\">Why smart statistics are the key to fighting crime<\/a>, Anne Milgram.<\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Leituras<\/h3>\n<ul>\n<li>(r1) <a href=\"https:\/\/www.spss-tutorials.com\/sampling-distribution-what-is-it\/\">Sampling Distribution \u2013 What is It?<\/a><\/li>\n<li>(r2) <a href=\"http:\/\/g1.globo.com\/videos\/v\/funciona-assim-eleicoes-2018-pesquisas-eleitorais\/7117143\/\">Pesquisas eleitorais<\/a><\/li>\n<li>(r3) <a href=\"https:\/\/stats.stackexchange.com\/questions\/16921\/how-to-understand-degrees-of-freedom\">Degrees of Freedom<\/a><\/li>\n<li>(r4) <a href=\"https:\/\/www.nature.com\/news\/big-names-in-statistics-want-to-shake-up-much-maligned-p-value-1.22375\" target=\"_blank\" rel=\"noopener\">Big names in statistics want to shake up much-maligned P value<\/a><\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Recursos recomendados<\/h3>\n<ul>\n<li><a href=\"https:\/\/cran.r-project.org\/doc\/contrib\/Short-refcard.pdf\">R Reference Card<\/a><\/li>\n<li><a href=\"http:\/\/stat110.net\">Stat 110 Online<\/a><\/li>\n<li><a href=\"https:\/\/stat110.quora.com\/\">Stat 110 Quora Blog<\/a><\/li>\n<li><a href=\"http:\/\/bit.ly\/probabilityfaq\">Quora Probability FAQ<\/a><\/li>\n<li><a href=\"https:\/\/www.rstudio.com\">R Studio<\/a><\/li>\n<li>Bayesian Statistical Inference: <a href=\"https:\/\/www.youtube.com\/watch?v=1jDBM9UM9xk\">I<\/a> e <a href=\"https:\/\/www.youtube.com\/watch?v=XtNXQJkgkhI\">II<\/a><\/li>\n<li>Classical Statistical Inference: <a href=\"https:\/\/www.youtube.com\/watch?v=4UJc0S8APm4\">I<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=tBUHRpFZy0s\">II<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=rYefUsYuEp0\">III<\/a><\/li>\n<li>LaTeX File (github.com\/wzchen\/probability cheatsheet)<\/li>\n<li><a href=\"https:\/\/www.r-bloggers.com\/normal-distribution-functions\/\">Normal Distribution: functions in R<\/a><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2018\/08\/tcl-exp.R.txt\">tcl.R<\/a>,\u00a0<a href=\"https:\/\/stackoverflow.com\/questions\/33373872\/is-there-a-simple-simulation-of-the-law-of-large-numbers-in-r\">lln,\u00a0<\/a><a href=\"https:\/\/campus.datacamp.com\/courses\/helsinki-social-statistics\/estimation?ex=8\">TLC (data camp)<\/a>:<\/li>\n<li>t tests (<a href=\"https:\/\/campus.datacamp.com\/courses\/intro-to-statistics-with-r-students-t-test\/chapter-one-introduction-to-t-tests?ex=9\">tutorial datacamp<\/a>)<\/li>\n<li><a href=\"http:\/\/mfviz.com\/central-limit\/\">TLC<\/a><a href=\"https:\/\/rpubs.com\/pythonjokeun\/samplingdistribution\">sampling distributions<\/a>, Lab:\u00a0<a href=\"https:\/\/rpubs.com\/pythonjokeun\/samplingdistribution\">Sampling Distribution in R<\/a><\/li>\n<\/ul>\n<hr \/>\n<h3>Livros did\u00e1ticos (al\u00e9m dos definidos no programa do curso)<\/h3>\n<ul>\n<li><a href=\"https:\/\/openstax.org\/details\/books\/introductory-statistics\">Introductory Statistics<\/a> (livro disponibilizado com licen\u00e7a Creative Commons)<\/li>\n<li>H. Loningher; <a href=\"http:\/\/www.statistics4u.com\/fundstat_eng\/\">Fundamentals of Statistics<\/a>, 2012.<\/li>\n<li>Brian Caffo; <a href=\"https:\/\/leanpub.com\/LittleInferenceBook\">Statistical inference for data science<\/a><\/li>\n<li>Joseph K. Blitzstein &amp; Jessica Hwang; <a href=\"http:\/\/bit.ly\/introprobability\">Introduction to Probability Book<\/a>, 2014.<\/li>\n<li>e-book: Ani Adhikari &amp; John DeNero, <a href=\"https:\/\/www.inferentialthinking.com\/\" target=\"_blank\" rel=\"noopener\">Computational and Inferential Thinking<\/a><\/li>\n<li>Wiki Book: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Book:Statistics_review\">Statistical Inference<\/a>.<\/li>\n<li>Wikipedia: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Statistical_inference\">&#8220;Statistical Inference&#8221;<\/a> (e links relacionados).<\/li>\n<li>Voc\u00ea pode pesquisar livros relevantes no acervo da <a href=\"http:\/\/biblioteca.cefet-rj.br\/\">Biblioteca do CEFET\/RJ<\/a>.<\/li>\n<\/ul>\n<h3>Livros de interesse geral sobre Estat\u00edstica<\/h3>\n<ul>\n<li><a href=\"https:\/\/wwnorton.com\/books\/naked-statistics\/\">Naked Statistics: Stripping the Dread from the Data<\/a>, Charles Wheelan, 2012.<\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Factfulness:_Ten_Reasons_We%27re_Wrong_About_the_World_\u2013_and_Why_Things_Are_Better_Than_You_Think\">Factfulness &#8211; Ten Reasons We\u2019re Wrong About the World and Why Things Are Better Than You Think<\/a>, Hans Rosling, Ola Rosling, Anna Rosling R\u00f6nnlund, 2018.<\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/How-to-Lie-With-Statistics-1954-Huff.pdf\">How to Lie with Statistics<\/a>, Darrell Huff, 1954.<\/li>\n<li><a href=\"https:\/\/www.amazon.com.br\/andar-b\u00eabado-acaso-determina-nossas-ebook\/dp\/B008FPZPRA\" target=\"_blank\" rel=\"noopener\">O Andar do B\u00eabado &#8211; Como o acaso determina nossas vidas<\/a>, Leonard Mlodinow, 2009.<\/li>\n<li><a href=\"https:\/\/www.amazon.com.br\/Uma-senhora-toma-ch\u00e1-revolucionou\/dp\/853780116X\">Uma senhora toma ch\u00e1&#8230; &#8211; Como a Estat\u00edstica revolucionou a ci\u00eancia no s\u00e9culo XX<\/a>, David Salsburg, 2009.<\/li>\n<\/ul>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Local\/Hor\u00e1rio Local: Sala 2 (Pavilh\u00e3o I) Dia\/hor\u00e1rio: 3\u2060\u1d43\u02e2-feiras, das 14h35 \u00e0s 16h15 Objetivos Esta disciplina apresenta conceitos relacionados \u00e0 tarefa de realizar infer\u00eancias sobre caracter\u00edsticas de uma popula\u00e7\u00e3o no contexto em que n\u00e3o \u00e9 poss\u00edvel analisar todos os elementos dessa popula\u00e7\u00e3o, mas apenas uma amostra (ou um punhado delas). S\u00e3o apresentados modelos matem\u00e1ticos e estat\u00edsticos [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2572","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/comments?post=2572"}],"version-history":[{"count":53,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2572\/revisions"}],"predecessor-version":[{"id":2938,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2572\/revisions\/2938"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=2572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}