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The test of significance was calculated by Pearson Chi-Square test using SPSS software version 14.
We used p = 0.05 as the test of significance.
A p-value <0.05 in a two-tailed test of significance was considered statistically significant.
A χ test of significance was used to determine significant differences between cross-tabulated proportions.
t test (test of significance) was applied to analyze the significant differences among different treatments for studied parameters.
Data analysis was by SPSS version 10 and test of significance was done with differences considered significant at p < 0.05.
To decide if the results are statistically significant, we conduct the following test of significance.
The test of significance between results from study pairs was conducted using Tukey's Test with significance p < 0.05.
Signorile, V. & O'Shea, R. M. A test of significance for the homophily index.
The results on prediction are quantified by a probabilistic statistical test of significance.
This procedure allowed us to mimic the correlational structure of the unpermuted data and provide a more robust test of significance.
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