Clays are among the most essential industrial minerals due to their unique\nphysicochemical properties and versatile usage. This paper used Statistical\nPackage for Social Sciences (SPSS) software to characterize five clay deposits\nfor their physical and chemical compositions. The package, was employed to\ncarry out the Analysis of Variance (ANOVA) by Post-Hoctambane multiple\ncomparisons and Kristal Wallis at 5% confidence level for the f- and t-tests\nrespectively. The analysis of variance of the chemical components of the samples\nby post-hoc (f8, 36 = 52.40, p < 0.05) showed that significant difference\nexist between the average concentration means. While the Kristal Wallis one\nsample t-test (T8, 37.38 and p < 0.05) showed a great degree of significant difference\nin the p-values of the means of SiO2 and Al2O3. Pearson bivariate correlation\nstatistical tool was also used to establish if significant positive interrelationships\nexist between the parameters in each site of the clay samples at\n(p < 0.01 and p < 0.05). The result of the correlation indicates a very significant,\nstrong and positive coefficient p-values above 0.900 between the chemical\nand physicalproperties. Pearson bivariate correlation coefficient between\nthe chemical and physical parameters of the clay samples indicates very significant,\nstrong and positive correlations with p-values above 0.900 at (p <\n0.01 and <0.05). The overall physicochemical results indicate that most of the\nclay samples will meet the requirements for some industrial applications with\nminimal processing.
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