{"id":2183,"date":"2023-03-03T11:49:09","date_gmt":"2023-03-03T11:49:09","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=2183"},"modified":"2024-10-04T10:57:38","modified_gmt":"2024-10-04T10:57:38","slug":"gcc1625-2023-2","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/gcc1625-2023-2\/","title":{"rendered":"GCC1625 &#8211; Infer\u00eancia Estat\u00edstica (2023.2)"},"content":{"rendered":"<p style=\"text-align: center;\"><a href=\"http:\/\/3.bp.blogspot.com\/-Hge1B7Ezf8Y\/UYFCDQbO5GI\/AAAAAAAANEY\/Ug7ypc1fOv4\/s1600\/mean+psychology.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-82\" src=\"http:\/\/3.bp.blogspot.com\/-Hge1B7Ezf8Y\/UYFCDQbO5GI\/AAAAAAAANEY\/Ug7ypc1fOv4\/s1600\/mean+psychology.png\" alt=\"causation\" width=\"434\" height=\"336\" \/><\/a><\/p>\n<hr \/>\n<h3>Local\/Hor\u00e1rio<\/h3>\n<ul>\n<li>Local: Lab 2 (Pavilh\u00e3o I)<\/li>\n<li>Dia\/hor\u00e1rio: 6as-feiras, das 16:30h \u00e0s 18:15h<\/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>Conceito 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.<\/p>\n<p>Veja tamb\u00e9m 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=\"http:\/\/www.cefet-rj.br\/attachments\/article\/199\/calendario%202023-ApCEPE%20(1).pdf\">calend\u00e1rio acad\u00eamico das gradua\u00e7\u00f5es<\/a> do CEFET\/RJ.<\/p>\n<table style=\"border: 1px solid #cccccc;\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #cccccc;\"><b>Aula<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Data<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Conte\u00fado<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Leituras<\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">1<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">11\/ago<\/td>\n<td style=\"border: 1px solid #cccccc;\">Apresenta\u00e7\u00e3o do curso <a href=\"https:\/\/www.dropbox.com\/s\/tsc6i56495zpi0d\/IE00%20%28Apresenta%C3%A7%C3%A3o%20do%20curso%29.pptx?dl=0\">(slides)<\/a><br \/>Revis\u00e3o <a href=\"https:\/\/colab.research.google.com\/drive\/1RMSrHJq6Ezu5WqOpJgvgjxRSMG2qEqN_\">(notebook)<\/a>\u00a0<br \/>Conceitos introdut\u00f3rios <a href=\"https:\/\/colab.research.google.com\/drive\/1N5xWQu0nvKKuCgaG-uAgcR77cjw3tjgV\">(notebook)<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: left;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">2<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">18\/ago<\/td>\n<td style=\"border: 1px solid #cccccc;\">Distribui\u00e7\u00f5es amostrais <a href=\"https:\/\/colab.research.google.com\/drive\/1b0j122a7L46uMGazPM3-FOk7PWZCWn11?usp=sharing\">(notebook)<\/a>\u00a0<br \/>TLC e LLN (<a href=\"https:\/\/colab.research.google.com\/drive\/1F4d1Y00zlKJ-QUUnKZsSer4dKkY93CJb?usp=sharing\">notebook<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">(r1)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">3<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">25\/ago<\/td>\n<td style=\"border: 1px solid #cccccc;\">Estima\u00e7\u00e3o intervalar: introdu\u00e7\u00e3o <a href=\"https:\/\/colab.research.google.com\/drive\/1CbNLmba0jEY1BJXPgAzzFs7TgQMky5b_?usp=sharing\">(<\/a><a href=\"https:\/\/www.dropbox.com\/scl\/fi\/w6ml0o774gh1yzairomva\/EstimacaoIntervalar-parte1.pptx?rlkey=915o8nihb9oyn4dpomn4zzt82&amp;dl=0\">slides<\/a>)<br \/>Estima\u00e7\u00e3o intervalar: IC para m\u00e9dia (n&gt;30) <a href=\"https:\/\/colab.research.google.com\/drive\/12dIJfFqny1n3l5jAQM4yjyqa7iDpCPqI?usp=sharing\">(notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/w6ml0o774gh1yzairomva\/EstimacaoIntervalar-parte1.pptx?rlkey=915o8nihb9oyn4dpomn4zzt82&amp;dl=0\">slides<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">4<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">01\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Estima\u00e7\u00e3o intervalar: IC para propor\u00e7\u00e3o (n&gt;30) <a href=\"https:\/\/colab.research.google.com\/drive\/12dIJfFqny1n3l5jAQM4yjyqa7iDpCPqI?usp=sharing\">(notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/2spwwshqrqjwufv7ofb37\/EstimacaoIntervalar-parte2.pptx?rlkey=x1yzpbkustg7xzvsnvf1q8y16&amp;dl=0\">slides<\/a>)<br \/>Estima\u00e7\u00e3o intervalar: Determina\u00e7\u00e3o do tamanho da amostra <a href=\"https:\/\/colab.research.google.com\/drive\/12dIJfFqny1n3l5jAQM4yjyqa7iDpCPqI?usp=sharing\">(notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/2spwwshqrqjwufv7ofb37\/EstimacaoIntervalar-parte2.pptx?rlkey=x1yzpbkustg7xzvsnvf1q8y16&amp;dl=0\">slides<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">(r2)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">5<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">08\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Tempos reservados para discuss\u00e3o sobre a Tarefa 1\u00a0<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">6<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">15\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Testes de hip\u00f3teses: introdu\u00e7\u00e3o (<a href=\"https:\/\/www.dropbox.com\/s\/wa72w4lmn5n06ox\/Testes%20de%20hip%C3%B3teses%20-%20introdu%C3%A7%C3%A3o.pptx?dl=0\">slides<\/a>)<br \/>Testes de hip\u00f3teses sobre uma amostra <a href=\"https:\/\/colab.research.google.com\/drive\/1k389ffznfPcy3MEA5NX5KpVy3jg5mI8Q?usp=sharing\">(notebook)<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">(r3)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">7<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">22\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Testes de hip\u00f3teses sobre duas amostras <a href=\"https:\/\/colab.research.google.com\/drive\/1ajwR5cPWV1zpEMn1lcjcDUSAu_DvqCaG?usp=sharing\">(notebook)<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">(r4)<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">8<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">29\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Conte\u00fado ass\u00edncrono (devido \u00e0 viagem ao <a href=\"http:\/\/sbbd.org.br\/2023\/\">SBBD<\/a>):<br \/>\u00a0&#8211; Estima\u00e7\u00e3o intervalar: IC para m\u00e9dia (n&lt;30) <a href=\"https:\/\/colab.research.google.com\/drive\/1TCcZou8JCtCbVL9zf8Hsadmfc2sn1DGu?usp=sharing\">(notebook)<\/a><br \/>\u00a0&#8211; Testes de normalidade <a href=\"https:\/\/colab.research.google.com\/drive\/11yOZcp03eN2jIlRIPcmQpi7RQLOBckzb?usp=sharing\">(notebook)<\/a><br \/>\u00a0&#8211; An\u00e1lise de Vari\u00e2ncia <a href=\"https:\/\/colab.research.google.com\/drive\/1h_Rf1sLwTNSOM44yFSTZ1k6KfLMt2gXN?usp=sharing\">(notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/s\/9j4x9krduxydmx3\/Testes%20de%20hip%C3%B3teses%20-%20ANOVA.pptx?dl=0\">slides<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">9<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">06\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Teste Qui-quadrado <a href=\"https:\/\/colab.research.google.com\/drive\/1DjyQxOjErti-AJTUloHjF6hHjl9MasKS?usp=sharing\">(notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/s\/x46uteu964m1txe\/Testes%20de%20hip%C3%B3teses%20-%20qui-quadrado.pptx?dl=0\">slides<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">10<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">27\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regress\u00e3o linear (<a href=\"https:\/\/www.dropbox.com\/s\/u9hicqc3ldbejf1\/Correla%C3%A7%C3%A3o-e-Regress%C3%A3o.pptx?dl=0\">slides<\/a>, <a href=\"https:\/\/colab.research.google.com\/drive\/1LsLIhx1A7f8YZjIBODVnUwmd5_NbI_fZ?usp=sharing\">notebook<\/a>)<br \/>Conte\u00fado ass\u00edncrono (devido ao feriado):<br \/>\u00a0&#8211; Teste de permuta\u00e7\u00e3o <a href=\"https:\/\/colab.research.google.com\/drive\/1Dlp5dH8BX9xYNg4AL61ty4nxdhLgIn5z?usp=sharing\">(notebook)<\/a><br \/>\u00a0&#8211; Bootstrapping <a href=\"https:\/\/colab.research.google.com\/drive\/1bhABBJeKobyPrRHyABb5th8qP9-kJGCU?usp=sharing\">(notebook)<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">11<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">10\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Causalidade: Diferen\u00e7a-em-diferen\u00e7as &#8211; parte 1 (<a href=\"https:\/\/www.dropbox.com\/scl\/fi\/ldsu9vbbu90g4wlbktucp\/DiD.pptx?rlkey=2k418ew36hrb0dg9ixu88pjjk&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/colab.research.google.com\/drive\/1y2gZLOqHpcoSiE2Fdey6cc8D32Wfy8h7?usp=sharing\">notebook<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">12<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">17\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Causalidade: Diferen\u00e7a-em-diferen\u00e7as &#8211; parte 2 (<a href=\"https:\/\/www.dropbox.com\/scl\/fi\/ldsu9vbbu90g4wlbktucp\/DiD.pptx?rlkey=2k418ew36hrb0dg9ixu88pjjk&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/colab.research.google.com\/drive\/1y2gZLOqHpcoSiE2Fdey6cc8D32Wfy8h7?usp=sharing\">notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/zxnffqkq0xuenorpk4j1s\/Panel101.dta?rlkey=4yn4det1csm08r0j7cehnhcq6&amp;dl=0\">dados<\/a>)<br \/>Publica\u00e7\u00e3o do T4 (20\/nov)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">13<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">24\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Causalidade: Design de Regress\u00e3o Descont\u00ednua (<a href=\"https:\/\/www.dropbox.com\/scl\/fi\/74rnn2z8p8jqzje0qo87d\/RDD.pptx?rlkey=gm6rzsxpca8clnn52is7wf54a&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/colab.research.google.com\/drive\/1cLNd9Ak0XB_W6NY2mxW1mqqCPhaWsezp?usp=sharing\">notebook<\/a>, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/9l95wtmgdl3eaqrt1sc28\/attendance_performance.csv?rlkey=6j9vevrmbbb3sod1796lr0bon&amp;dl=0\">dados<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">14<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">01\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Reservada para pr\u00e1tica e discuss\u00e3o de d\u00favidas<br \/>Entrega das avalia\u00e7\u00f5es do T3 (04\/dez)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">15<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">08\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Reservada para pr\u00e1tica e discuss\u00e3o de d\u00favidas<br \/>Entrega do T4 (09\/dez)<br \/>Entrega das avalia\u00e7\u00f5es do T4 e da m\u00e9dia semestral (10\/dez)<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">16<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">15\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Exame Final<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<\/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>Listas de Exerc\u00edcios<\/h3>\n<p>Cada lista de exerc\u00edcios deve ser realizada individualmente e de pr\u00f3prio punho.<\/p>\n<ul>\n<li>L1\u00a0&#8211; <span style=\"color: #ff0000;\">Entrega: ver plataforma MS Teams<\/span><\/li>\n<li>L2\u00a0&#8211; <span style=\"color: #ff0000;\">Entrega: ver plataforma MS Teams<\/span><\/li>\n<li>L3\u00a0&#8211; <span style=\"color: #ff0000;\">Entrega: TBD<\/span><\/li>\n<li>L4<\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Trabalhos Pr\u00e1ticos<\/h3>\n<ul>\n<li>T1 &#8211; <span style=\"color: #ff0000;\">Entrega: ver plataforma MS Teams<\/span><\/li>\n<li>T2 &#8211; <span style=\"color: #ff0000;\">Entrega: ver plataforma MS Teams<\/span><\/li>\n<li>T3 &#8211; <span style=\"color: #ff0000;\">Entrega: TBD<\/span><del><\/del><\/li>\n<li>T4<\/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: Lab 2 (Pavilh\u00e3o I) Dia\/hor\u00e1rio: 6as-feiras, das 16:30h \u00e0s 18:15h 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-2183","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2183","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=2183"}],"version-history":[{"count":30,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2183\/revisions"}],"predecessor-version":[{"id":2571,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2183\/revisions\/2571"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=2183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}