Rank-ordering coefficients of variation for popping expansion = Classificação de coeficientes de variação para capacidade de expansão

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 testedthrough the Shapiro-Wilk test, and th...

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Bibliographic Details
Published in:Acta scientiarum. Agronomy Vol. 33; no. 3; pp. 527 - 531
Main Authors: Emmanuel Arnhold, Klayton Flávio Milani
Format: Journal Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 01-07-2011
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Summary: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 testedthrough 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 < (m - 1 SD)], moderate [(m - 1 SD) < CV < (m + 1 SD)], high [(m + 1 SD) < CV < (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 CVfs mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV . 5.95% are low, 5.95 < CV . 15.21% are moderate, 15.21 < CV . 20.34% are high, and CV > 20.34% are very high.O coeficiente de variacao (CV) tem sido o parametro estatistico mais importante para determinar a precisao de erros experimentais, sendo necessaria uma classificacao para orientar os pesquisadores de milho-pipoca para a capacidade de expansao. Assim, a normalidade de 50 CVs foi avaliada por meio do teste de Shapiro-Wilk; a media (m), mediana, desvio padrao (DP), valores maximos e minimos, assimetria e curtose foram estimados utilizando o metodo dos momentos. Os CVs foram classificados como baixo [CV < (m - 1 DP)], moderado [(m - 1 DP) < CV < (m + 1 DP)], alto [(m + 1 DP) < CV < (m + 2 DP)] e muito alto [CV > (m + 2 DP)]. Em resumo, os dados aproximaram a normalidade e a curva normal foi desviada para a direita e ficou ligeiramente achatada. A media dos CVs foi de 11,08, a mediana foi de 11,94 e o desvio padrao foi de 5,13%. Assim, valores de CV . 5,95% devem ser classificados como baixos, 5,95 < CV . 15,21% sao moderados, 15,21 < CV . 20,34% saoelevados e CV > 20,34% sao muito elevados.
ISSN:1679-9275
1807-8621