1972
DOI: 10.1111/j.1745-6584.1972.tb02911.x
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Application of Nonparametric Statistical Tests in Hydrogeology

Abstract: Appropriate nonparametric or distribution free statistical techniques are useful tools when data do not satisfy the conditions required by parametric statistical tests, and may be applied to a variety of hydrogeological problems. Two nonparametric tests, Krusk‐Wallis One‐Way Analysis of Variance and Mann‐Whitney U Test, were used to test the significance of observed differences in well yields with respect to variation in controlling hydrogeologic factors. This paper presents the steps involved in performing th… Show more

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Cited by 13 publications
(8 citation statements)
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“…Measurements were made every minute and averaged over a 15 min interval, and their reliability was checked against manual water table measurements. Kruskall-Wallis and Mann-Whitney tests (after Siddiqui and Parizek 1972) allowed differences in pond water tables to be assessed when 2005 and 2006 water table data were pooled.…”
Section: Methodsmentioning
confidence: 99%
“…Measurements were made every minute and averaged over a 15 min interval, and their reliability was checked against manual water table measurements. Kruskall-Wallis and Mann-Whitney tests (after Siddiqui and Parizek 1972) allowed differences in pond water tables to be assessed when 2005 and 2006 water table data were pooled.…”
Section: Methodsmentioning
confidence: 99%
“…Well yields in primarily limestone rock along the axes of anticlines are found to be appreciably larger than those along axes of synclines (Clark and others, 1976). Siddiqui and Parizek (1972) found that variation in structural control is not a statistically significant factor in the productivity of wells not located on fracture traces. Ground-water flow in Morgan County may occur through fracture sets that parallel anticlinal axes.…”
Section: Relation Of Geology To Ground-water Flowmentioning
confidence: 90%
“…Parametric statistical tests like one-way ANOVA and t test (Siddiqui and Parizek 1974;Knopman and Hollyday 1993) and non-parametric statistical tests such as KruskalWallis test (Siddiqui and Parizek 1972;Knopman and Hollyday 1993) can efficiently monitor the difference in well performances in different hydrogeological conditions. These techniques are used in the present study to verify if differences in WLF under different geological parameters are statistically significant or not.…”
Section: Methodsmentioning
confidence: 99%