Okeniyi, Joshua Olusegun and Okeniyi, Elizabeth Toyin and Atayero, A. A. (2020) Implementation of Data Normality Testing as a Microsoft Excel® Library Function by Kolmogorov-Smirnov Goodness-of-fit Statistics. Vision 2020: Sustainable Growth, Economic Development, and Global Competitiveness.
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Abstract
This 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 twosided 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 K-S D statistics fosters the development of the Normality K-S 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Kolmogorov-Smirnov sampling distributions; Kolmogorov-Smirnov probabilistic value; machine precision arithmetic; one-sided one-sample cumulative statistics; two-sided one-sample cumulative statistics; Microsoft Excel® library function |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | AKINWUMI |
| Date Deposited: | 12 May 2023 12:45 |
| Last Modified: | 12 May 2023 12:45 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16884 |
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