Estatística aplicada à química: dez dúvidas comuns

Detalhes bibliográficos
Autor(a) principal: Passari,Livia Maria Zambrozi Garcia
Data de Publicação: 2011
Outros Autores: Soares,Patricia Kaori, Bruns,Roy Edward, Scarminio,Ieda Spacino
Tipo de documento: Artigo
Idioma: por
Título da fonte: Química Nova (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422011000500028
Resumo: Ten common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation. The statistical meaning of the denominators of the root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEV) are given for researchers using multivariate calibration methods. The reason why scientists and engineers use the average instead of the median is explained. Several problematic aspects about regression and correlation are treated. The popular use of triplicate experiments in teaching and research laboratories is seen to have its origin in statistical confidence intervals. Nonparametric statistics and bootstrapping methods round out the discussion.
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spelling Estatística aplicada à química: dez dúvidas comunslinear regressionmediannon-parametric statisticsTen common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation. The statistical meaning of the denominators of the root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEV) are given for researchers using multivariate calibration methods. The reason why scientists and engineers use the average instead of the median is explained. Several problematic aspects about regression and correlation are treated. The popular use of triplicate experiments in teaching and research laboratories is seen to have its origin in statistical confidence intervals. Nonparametric statistics and bootstrapping methods round out the discussion.Sociedade Brasileira de Química2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422011000500028Química Nova v.34 n.5 2011reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0100-40422011000500028info:eu-repo/semantics/openAccessPassari,Livia Maria Zambrozi GarciaSoares,Patricia KaoriBruns,Roy EdwardScarminio,Ieda Spacinopor2011-07-18T00:00:00Zoai:scielo:S0100-40422011000500028Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2011-07-18T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Estatística aplicada à química: dez dúvidas comuns
title Estatística aplicada à química: dez dúvidas comuns
spellingShingle Estatística aplicada à química: dez dúvidas comuns
Passari,Livia Maria Zambrozi Garcia
linear regression
median
non-parametric statistics
title_short Estatística aplicada à química: dez dúvidas comuns
title_full Estatística aplicada à química: dez dúvidas comuns
title_fullStr Estatística aplicada à química: dez dúvidas comuns
title_full_unstemmed Estatística aplicada à química: dez dúvidas comuns
title_sort Estatística aplicada à química: dez dúvidas comuns
author Passari,Livia Maria Zambrozi Garcia
author_facet Passari,Livia Maria Zambrozi Garcia
Soares,Patricia Kaori
Bruns,Roy Edward
Scarminio,Ieda Spacino
author_role author
author2 Soares,Patricia Kaori
Bruns,Roy Edward
Scarminio,Ieda Spacino
author2_role author
author
author
dc.contributor.author.fl_str_mv Passari,Livia Maria Zambrozi Garcia
Soares,Patricia Kaori
Bruns,Roy Edward
Scarminio,Ieda Spacino
dc.subject.por.fl_str_mv linear regression
median
non-parametric statistics
topic linear regression
median
non-parametric statistics
description Ten common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation. The statistical meaning of the denominators of the root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEV) are given for researchers using multivariate calibration methods. The reason why scientists and engineers use the average instead of the median is explained. Several problematic aspects about regression and correlation are treated. The popular use of triplicate experiments in teaching and research laboratories is seen to have its origin in statistical confidence intervals. Nonparametric statistics and bootstrapping methods round out the discussion.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422011000500028
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422011000500028
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv 10.1590/S0100-40422011000500028
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Química Nova v.34 n.5 2011
reponame:Química Nova (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
institution SBQ
reponame_str Química Nova (Online)
collection Química Nova (Online)
repository.name.fl_str_mv Química Nova (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv quimicanova@sbq.org.br
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