Implementation of data normality testing as a microsoft excel® library function by kolmogorov-smirnov goodness of fit statistics

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dc.creatorAtayero, A. A.
dc.date2014-05-13
dc.date.accessioned2025-08-12T09:53:22Z
dc.descriptionThis paper deliberates on the implementation of data Normality test as a library function in Microsoft Exel® spreadsheet software, in which researchers normally stores data for anlysis and processing, by Kolmogorov-Smirnov goodness of fit statistics. The implementation procedure followed algorithmic program development of the Normality Kolmogorov-Smirnov D statistics for the one-sided and the two-sided test criteria as a library function in the Microsoft Excel®environment. For this, the Visual Basic for Applications was employed for deploying macro embedment in the spreadsheet software. Successful implementation of the Normality KS D statistics fosters the development of the Normality KS p-value estimation procedure also as a library function in the Ms Excel® environment. Tests of these implementations bear potency of accurate, speedy and economical procedure for undertaking Normality testing in research, for data of up to sample size n ≤ 2000.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/3012/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/49838
dc.languageen
dc.subjectQA Mathematics
dc.titleImplementation of data normality testing as a microsoft excel® library function by kolmogorov-smirnov goodness of fit statistics
dc.typeConference or Workshop Item

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