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Normal distribution of the data was tested using Kolmogorov Smirnov test.
The hypothesis on the normal distribution of the data was tested using ω2-criterion and accepted at the level of confidence 0.90.
Furthermore, the normality of the data was tested using Anderson-Darling and Lilliefors test [14, 15, 16].
The data was tested using a two-tailed paired t-test.
Correlation analysis of the data was tested using Spearman's test.
The normal distribution of the data was tested using the Kolmogorov-Smirnov (KS) test for normality.
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The data is tested using the Hadoop ecosystem for future planning and efficient usage of the energy in an IoT environment.
The data were tested using a one-way ANOVA, followed by Tukey's HSD post-hoc test.
Consistencies in patterns in the data were tested used Chi Square and Mantel Haenszel tests.
In view of the above, the fitness of the sorption data was tested using pseudo-second-order reaction model.
The statistical significance of the experimental data was tested using a Student's t-test.
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