Comparison of Goodness of Fit Tests for Normal Distribution
I. Agu, Friday, E. Francis, Runyi
Asian Journal of Probability and Statistics · pp. 1–32 · Published 11 Jun 2018
10.9734/ajpas/2018/v1i224507Abstract
Goodness of fit test is a test that has attracted researchers’ interest over the decades. This study is on goodness of fit test for normal distribution only. The Kolmogorov-Smirnov (K-St) and Pearson’s Chi-square (χ² test) goodness of fit test were used to determine the normality of a given data. The result revealed that the data is normal under the two tests and that the Kolmogorov-Smirnov (K-S test) were preferred to Pearson’s Chi-square (χ² test). The Kolmogorov-Smirnov (K-S) test of goodness of fit is the most suitable in terms of the p-value.
Cited by 2
Friday Ikechukwu Agu, Joseph Thomas Eghwerido · Statistics in Transition New Series · 2021
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