Selection and Application of graphical and numerical statistical tools by prospective primary school teachers

Detalhes bibliográficos
Autor(a) principal: Fernandes, José António
Data de Publicação: 2019
Outros Autores: Freitas, Adelaide
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/27195
Resumo: Teaching statistics in the early years requires that teachers at this school level develop skills to analyze small collections of data. Given a collection of quantitative data (12 observations), in this paper we looked at how students and prospective primary school teachers select and make appropriate graphs and identify and determine statistical measures suitable for summarizing the data, including the interpretation of the third quartile. The study involved 50 students who were attending the 2nd year of the Basic Education Bachelor’s program at a university in northern Portugal. The collected data correspond to the answers given by the students in a formal examination in a Probability and Statistics course. An analysis of the answers showed that the students had difficulties in both the selection and application of statistical methods, which were more pronounced when they had to identify the appropriate graphs to represent the data and to determine the quartiles and to interpret the third quartile, and less pronounced in the case of determining other statistical measures.
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spelling Selection and Application of graphical and numerical statistical tools by prospective primary school teachersStatistical graphsStatistical measuresProspective primary school teachersTeaching statistics in the early years requires that teachers at this school level develop skills to analyze small collections of data. Given a collection of quantitative data (12 observations), in this paper we looked at how students and prospective primary school teachers select and make appropriate graphs and identify and determine statistical measures suitable for summarizing the data, including the interpretation of the third quartile. The study involved 50 students who were attending the 2nd year of the Basic Education Bachelor’s program at a university in northern Portugal. The collected data correspond to the answers given by the students in a formal examination in a Probability and Statistics course. An analysis of the answers showed that the students had difficulties in both the selection and application of statistical methods, which were more pronounced when they had to identify the appropriate graphs to represent the data and to determine the quartiles and to interpret the third quartile, and less pronounced in the case of determining other statistical measures.Universidade Luterana do Brasil2019-12-17T11:29:55Z2019-01-01T00:00:00Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/27195eng2178-772710.17648/acta.scientiae.5344Fernandes, José AntónioFreitas, Adelaideinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:52:41Zoai:ria.ua.pt:10773/27195Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:00:02.234495Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
title Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
spellingShingle Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
Fernandes, José António
Statistical graphs
Statistical measures
Prospective primary school teachers
title_short Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
title_full Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
title_fullStr Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
title_full_unstemmed Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
title_sort Selection and Application of graphical and numerical statistical tools by prospective primary school teachers
author Fernandes, José António
author_facet Fernandes, José António
Freitas, Adelaide
author_role author
author2 Freitas, Adelaide
author2_role author
dc.contributor.author.fl_str_mv Fernandes, José António
Freitas, Adelaide
dc.subject.por.fl_str_mv Statistical graphs
Statistical measures
Prospective primary school teachers
topic Statistical graphs
Statistical measures
Prospective primary school teachers
description Teaching statistics in the early years requires that teachers at this school level develop skills to analyze small collections of data. Given a collection of quantitative data (12 observations), in this paper we looked at how students and prospective primary school teachers select and make appropriate graphs and identify and determine statistical measures suitable for summarizing the data, including the interpretation of the third quartile. The study involved 50 students who were attending the 2nd year of the Basic Education Bachelor’s program at a university in northern Portugal. The collected data correspond to the answers given by the students in a formal examination in a Probability and Statistics course. An analysis of the answers showed that the students had difficulties in both the selection and application of statistical methods, which were more pronounced when they had to identify the appropriate graphs to represent the data and to determine the quartiles and to interpret the third quartile, and less pronounced in the case of determining other statistical measures.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-17T11:29:55Z
2019-01-01T00:00:00Z
2019
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url http://hdl.handle.net/10773/27195
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2178-7727
10.17648/acta.scientiae.5344
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dc.publisher.none.fl_str_mv Universidade Luterana do Brasil
publisher.none.fl_str_mv Universidade Luterana do Brasil
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