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And what you've said about A-level choices doesn't explain the variables between colleges.
The data of survivors and non survivors are in table 2. Table 2 The variables between survivors and nonsurviors.
Differences in the variables between the subsamples were tested under the null hypothesis that the distribution of a variable was the same across categories.
The cations, Mg, showed a very high negative correlation with Cl and SO4 of R value −0.837 and −0.648, respectively, the linear correlation coefficient of Mg with examined water samples, it was found that the variables between chloride has a very high negative correlation of R 2 value = −0.70 and with sulphate having moderate negative correlation of R 2 = −0.42.
The linear correlation coefficient of Ca with examined water samples, it was found that the variables between calcium and Na/K has a very high negative correlation of R 2 value = 0.85 this is due to the geological formation of surrounding area such as shale, siltstone and carbonaceous rocks and indicating the dominance of ion-exchange process.
Student t test was used for statistical analysis of the variables between the two groups.
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Correlation coefficients for the relationships between the HRQoL variables, between the PF variables, and between the HRQoL and PF variables were obtained.
Chi-square tests were used to compare the distributions of the categorical variables between the groups.
The SEM was applied to test the mediating variables between the review outcome and the observed variables.
The categorical variables between the groups were analysed by using the Chi square test.
The chi-square test was used to compare the categorical variables between the groups.
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