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Analysis of the coefficient of variation in shear and tensile bond strength tests

机译:剪切强度和拉伸强度测试中的变异系数分析

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The coefficient of variation is a dispersion measurement that does not depend on the unit scales, thus allowing the comparison of experimental results involving different variables. Its calculation is crucial for the adhesive experiments performed in laboratories because both precision and reliability can be verified. The aim of this study was to evaluate and to suggest a classification of the coefficient variation (CV) for in vitro experiments on shear and tensile strengths. The experiments were performed in laboratory by fifty international and national studies on adhesion materials. Statistical data allowing the estimation of the coefficient of variation was gathered from each scientific article since none of them had such a measurement previously calculated. Excel worksheet was used for organizing the data while the sample normality was tested by using Shapiro Wilk tests (a = 0.05) and the Statistical Analysis System software (SAS). A mean value of 6.11 (SD = 1.83) for the coefficient of variation was found by the data analysis and the data had a normal distribution (p>0.05). A range classification was proposed for the coefficient of variation from such data, that is, it should be considered low for a value lesser than 2.44; intermediate for a value between 2.44 and 7.94, high for a value between 7.94 and 9.78, and finally, very high for a value greater than 9.78. Such classification can be used as a guide for experiments on adhesion materials, thus making the planning easier as well as revealing precision and validity concerning the data.
机译:变异系数是一种不依赖于单位刻度的色散测量,因此可以比较涉及不同变量的实验结果。它的计算对于实验室中进行的胶粘剂实验至关重要,因为可以验证精度和可靠性。本研究的目的是评估抗剪强度和拉伸强度的体外实验的系数变化(CV)并提出分类建议。实验是在实验室进行的五十项国际和国内粘合材料研究。从每篇科学文章中收集可以估算变异系数的统计数据,因为它们都没有事先计算过这样的度量。使用Excel工作表组织数据,同时使用Shapiro Wilk检验(a = 0.05)和统计分析系统软件(SAS)检验样品的正态性。通过数据分析发现变异系数的平均值为6.11(SD = 1.83),数据具有正态分布(p> 0.05)。对于来自此类数据的变异系数,提出了范围分类,即,对于小于2.44的值,应将其视为较低;中间值介于2.44和7.94之间,高值介于7.94和9.78之间,最后,非常高,大于9.78。这样的分类可以用作粘合材料实验的指南,从而使规划变得容易,并揭示有关数据的准确性和有效性。

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