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Thus, we recommend using the KS-tests together with other model selection methods for more reliable conclusions.
Statistical comparisons of means were performed using the wilcox.test function from the stats package whereas distributions were compared using the ks.test (Kolmogorov Smirnov test) function.
By utilizing multiple linear regression, a model was also developed to estimate the direct CAPEX (EPC cost) of RO desalination plants to be located either in the GCC countries or southern Europe, which was then verified using the k-fold test.
Cumulative frequency distributions were compared using the K-S test.
Distributions will be checked for normality using the K-S test and non-normal data will be transformed using appropriate transformations.
Overall rate heterogeneity was assessed using the K-H test as implemented in PAUP, using the same ML analyses, except that the starting tree was a neighbor-joining tree and the analysis was limited to 40 rearrangements.
Differences in reliability between formula and number-right scoring tests were tested using the K-sample significance test for independent alpha coefficients (Hakstian and Whalen 1976).
In general the reliability for NR scores was significantly and substantially lower than for FS scores for both tests A and B when using the K-sample significance test for independent alpha coefficients (Hakstian and Whalen 1976).
In addition, we tested differences in medians (due to the skewed distributions of the urbanisation index components) using the K-sample equality of medians test.
Spatial clustering of malaria cases, compared with children without malaria, was tested using the k-nearest neighbor method.
We tested interrater reliability using the K statistic.
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