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Statistical-mathematical processing of anthropometric foot parameters and establishing simple and multiple correlations. Part 1: statistical analysis of foot size parameters

Journal: Revista de Pielarie Incaltaminte / Leather and Footwear Journal (Vol.17, No. 4)

Publication Date:

Authors : ;

Page : 199-208

Keywords : anthropometric parameters; foot; statistical indicators;

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Abstract

The purpose of this study is to evaluate anthropometric parameters resulting from measurements by their statistical and mathematical processing. The study was conducted on a sample of 300 male subjects from three geographic regions of Romania: South (100 subjects), East (100 subjects) and Centre and West (100 subjects). The anthropometric data collected by 3D scanning of the left and right foot were grouped into four samples (South, East, Centre-West and Total) and the statistical indicators of characterization (arithmetic mean and standard deviation) and statistical variables (the minimum and maximum values, the amplitude and the coefficient of variation) were calculated for each variational sequence of the 20 anthropometric parameters studied. To verify the working hypothesis that there were no significant differences between left and right foot, Student's t-test and the Fisher (F) test were used to verify the variants. Both tests have shown that there are no significant differences between the left foot and the right foot for most anthropometric parameters. Samples for the four groups studied were based on the average of anthropometric parameters of the right and left foot. One-dimensional normal-size distribution for Foot Length (Lp) and Toe Girth (Pd) anthropometric parameters was verified. In this respect, the limits of the frequency classes, the centre of the class and the relative and absolute frequencies were established. This distribution is found in the commissioning of the shoe size series. For an optimal fit of the shoe, it is necessary to divide the size series into length and width classes.

Last modified: 2017-12-20 19:21:06