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Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan

By: Shahla Siddiqui, Samreen Fatima

Key Words: Pomadasys maculatum test of independent, Scree plot factor analysis (FA), Principal component analysis (PCA), Monte carlo PCA for parallel analysis

J. Bio. Env. Sci. 17(1), 78-84, July 2020.

Certification: jbes 2020 0306 [Generate Certificate]

Abstract

This paper aims to investigate the variability in the morphometric and meristic characteristics in a set of fishery data by applying multivariate statistical techniques; PCA and Factor analysis. Moreover, gender-wise difference in these variables is also investigated via statistical independent t-test. Empirical analysis result obtained from t-test shows that the total length of the body in female is 8.079, whereas male has 8.054 of the whole body length. Furthermore, test of independent result of body displays that weight of female and male are 9.966 and 10.053 respectively. However, head length and snout length are found 9.143 and 10.568 in female and in male 09.145 and 10.557 respectively. To sum up, all the variables are slightly significant in both (Male and Female). In the second phase via applying PCA it is found that the first three variables (total length (TL), Body weight (Bwt), Standard length (SL)) are retained 90.047% of the total variation.

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Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan

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Shahla Siddiqui, Samreen Fatima.
Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan.
J. Bio. Env. Sci. 17(1), 78-84, July 2020.
https://innspub.net/jbes/multivariate-techniques-pomadasys-maculatum-bloch-karachi-coast-pakistan/
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