Influence of SAS software on the learning of statistics at the university level

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This article examines the use of the SAS tool in the learning of statistics. the type of research was applied with a quasi-experimental design and quantitative approach, the sample was determined by a non-probabilistic method comprising 28 students for both groups; for the collection of information,...

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Detalles Bibliográficos
Autores: Uribe Hernández, Yrene Cecilia, Caballero Cifuentes, Lolo José, Núñez Lira, Luis Alberto, Luy-Montejo, Carlos Augusto, Larico Apaza, Yaneth Carol, Acevedo Flores, Jessica Elizabeth, Vértiz Osores, Jacinto Joaquín
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7977
Enlace del recurso:https://hdl.handle.net/20.500.12867/7977
http://doi.org/10.58346/JISIS.2023.I3.011
Nivel de acceso:acceso abierto
Materia:Statistics
Mathematics education
Educational technology
University students
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#1.02.00
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dc.title.es_PE.fl_str_mv Influence of SAS software on the learning of statistics at the university level
title Influence of SAS software on the learning of statistics at the university level
spellingShingle Influence of SAS software on the learning of statistics at the university level
Uribe Hernández, Yrene Cecilia
Statistics
Mathematics education
Educational technology
University students
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#1.02.00
title_short Influence of SAS software on the learning of statistics at the university level
title_full Influence of SAS software on the learning of statistics at the university level
title_fullStr Influence of SAS software on the learning of statistics at the university level
title_full_unstemmed Influence of SAS software on the learning of statistics at the university level
title_sort Influence of SAS software on the learning of statistics at the university level
author Uribe Hernández, Yrene Cecilia
author_facet Uribe Hernández, Yrene Cecilia
Caballero Cifuentes, Lolo José
Núñez Lira, Luis Alberto
Luy-Montejo, Carlos Augusto
Larico Apaza, Yaneth Carol
Acevedo Flores, Jessica Elizabeth
Vértiz Osores, Jacinto Joaquín
author_role author
author2 Caballero Cifuentes, Lolo José
Núñez Lira, Luis Alberto
Luy-Montejo, Carlos Augusto
Larico Apaza, Yaneth Carol
Acevedo Flores, Jessica Elizabeth
Vértiz Osores, Jacinto Joaquín
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Uribe Hernández, Yrene Cecilia
Caballero Cifuentes, Lolo José
Núñez Lira, Luis Alberto
Luy-Montejo, Carlos Augusto
Larico Apaza, Yaneth Carol
Acevedo Flores, Jessica Elizabeth
Vértiz Osores, Jacinto Joaquín
dc.subject.es_PE.fl_str_mv Statistics
Mathematics education
Educational technology
University students
topic Statistics
Mathematics education
Educational technology
University students
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#1.02.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#1.02.00
description This article examines the use of the SAS tool in the learning of statistics. the type of research was applied with a quasi-experimental design and quantitative approach, the sample was determined by a non-probabilistic method comprising 28 students for both groups; for the collection of information, a pre-test and a post-test were applied, validated with expert judgment and V. Aiken, its reliability with the Spearman Brown coefficient. After the experiment, the results showed higher averages in favor of the experimental group to whom the SAS software was applied in its statistical learning dimensions at a descriptive and inferential level. In order to know the distribution of the data, the Shapiro Wilk numerical method was used, the result of the test gave the certainty to choose the TStudent test for two independent samples at 95% with a level of confidence and 0.05 significance. It is concluded that the SAS software improves the levels of learning of statistics, increases their creativity, they feel more motivated, and there is an interaction favoring more active learning.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-11-30T22:27:49Z
dc.date.available.none.fl_str_mv 2023-11-30T22:27:49Z
dc.date.issued.fl_str_mv 2023
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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format article
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dc.identifier.issn.none.fl_str_mv 2182-2077
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7977
dc.identifier.journal.es_PE.fl_str_mv Journal of Internet Services and Information Security
dc.identifier.doi.none.fl_str_mv http://doi.org/10.58346/JISIS.2023.I3.011
identifier_str_mv 2182-2077
Journal of Internet Services and Information Security
url https://hdl.handle.net/20.500.12867/7977
http://doi.org/10.58346/JISIS.2023.I3.011
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartofseries.none.fl_str_mv Journal of Internet Services and Information Security;vol. 13, n° 13
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dc.publisher.es_PE.fl_str_mv Innovative Information Science & Technology Research Group
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dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling Uribe Hernández, Yrene CeciliaCaballero Cifuentes, Lolo JoséNúñez Lira, Luis AlbertoLuy-Montejo, Carlos AugustoLarico Apaza, Yaneth CarolAcevedo Flores, Jessica ElizabethVértiz Osores, Jacinto Joaquín2023-11-30T22:27:49Z2023-11-30T22:27:49Z20232182-2077https://hdl.handle.net/20.500.12867/7977Journal of Internet Services and Information Securityhttp://doi.org/10.58346/JISIS.2023.I3.011This article examines the use of the SAS tool in the learning of statistics. the type of research was applied with a quasi-experimental design and quantitative approach, the sample was determined by a non-probabilistic method comprising 28 students for both groups; for the collection of information, a pre-test and a post-test were applied, validated with expert judgment and V. Aiken, its reliability with the Spearman Brown coefficient. After the experiment, the results showed higher averages in favor of the experimental group to whom the SAS software was applied in its statistical learning dimensions at a descriptive and inferential level. In order to know the distribution of the data, the Shapiro Wilk numerical method was used, the result of the test gave the certainty to choose the TStudent test for two independent samples at 95% with a level of confidence and 0.05 significance. 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