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Levene's test of equality of variance was used to check for equal variances, using the lawstat package (α = 0.05).
Table 6 Results of Kolmogorov-Smirnov test of Normality and Levene's test of Equality of Variances Kolmogorov-Smirnov Levene's Test of Equality of Error Variances Statistic df Sig.
If the assumption of equal variances was violated, the Welch test of robust test of equality of means was used.
Levene's test of equality of variance was used to confirm that all groups had equal variances.
A test of equality of distributions shows that the distributions are not the same.
The Box's test of equality of covariance matrices is conducted to validate the assumption of homogeneity before proceeding further.
Table 6 shows the results of Kolmogorov-Smirnov test of normality and Levene's test of equality of variances.
Rothstein et al. (1981) cite two examples in psychology in which a test of equality of variances is of interest.
Levene's test of equality of error variances also indicated that the assumption of homogeneity of variance was not violated.
These differences in the size distribution across sectors are statistically significant under a T test of equality of means.
Levene's test of equality of error variances also indicated that the homogeneity of variance was not violated in the dataset.
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