Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911

Detalhes bibliográficos
Autor(a) principal: Arnhold, Emmanuel
Data de Publicação: 2011
Outros Autores: Milani, Klayton Flávio
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911
Resumo: The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV &le; (m - 1 SD)], moderate [(m - 1 SD) < CV &le; (m + 1 SD)], high [(m + 1 SD) < CV &le; (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV &le; 5.95% are low, 5.95 < CV &le; 15.21% are moderate, 15.21 < CV &le; 20.34% are high, and CV > 20.34% are very high.
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spelling Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911Zea maysdispersion measurementgenetic improvementprecisionaccuracyZea maysdispersion measurementgenetic improvementprecisionaccuracyThe coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV &le; (m - 1 SD)], moderate [(m - 1 SD) < CV &le; (m + 1 SD)], high [(m + 1 SD) < CV &le; (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV &le; 5.95% are low, 5.95 < CV &le; 15.21% are moderate, 15.21 < CV &le; 20.34% are high, and CV > 20.34% are very high.The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV &le; (m - 1 SD)], moderate [(m - 1 SD) < CV &le; (m + 1 SD)], high [(m + 1 SD) < CV &le; (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV &le; 5.95% are low, 5.95 < CV &le; 15.21% are moderate, 15.21 < CV &le; 20.34% are high, and CV > 20.34% are very high.Universidade Estadual de Maringá2011-04-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/1191110.4025/actasciagron.v33i3.11911Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 527-531Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 527-5311807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911aArnhold, EmmanuelMilani, Klayton Flávioinfo:eu-repo/semantics/openAccess2022-11-23T18:38:27Zoai:periodicos.uem.br/ojs:article/11911Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:27Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
title Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
spellingShingle Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
Arnhold, Emmanuel
Zea mays
dispersion measurement
genetic improvement
precision
accuracy
Zea mays
dispersion measurement
genetic improvement
precision
accuracy
title_short Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
title_full Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
title_fullStr Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
title_full_unstemmed Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
title_sort Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
author Arnhold, Emmanuel
author_facet Arnhold, Emmanuel
Milani, Klayton Flávio
author_role author
author2 Milani, Klayton Flávio
author2_role author
dc.contributor.author.fl_str_mv Arnhold, Emmanuel
Milani, Klayton Flávio
dc.subject.por.fl_str_mv Zea mays
dispersion measurement
genetic improvement
precision
accuracy
Zea mays
dispersion measurement
genetic improvement
precision
accuracy
topic Zea mays
dispersion measurement
genetic improvement
precision
accuracy
Zea mays
dispersion measurement
genetic improvement
precision
accuracy
description The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV &le; (m - 1 SD)], moderate [(m - 1 SD) < CV &le; (m + 1 SD)], high [(m + 1 SD) < CV &le; (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV &le; 5.95% are low, 5.95 < CV &le; 15.21% are moderate, 15.21 < CV &le; 20.34% are high, and CV > 20.34% are very high.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-11
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url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911
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dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911a
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
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dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 527-531
Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 527-531
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
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reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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