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The Student's t-test was used to determine statistical significance between groups of data.
Significant differences between groups of data were determined using a t-test for all bar graphs or ANOVA for box plot powered by SigmaPlot 11.0 software.
Significance of differences between groups of data and WT controls were performed using One-Way ANOVA followed by Dunnett's Multiple Comparison Post Test using the program Prism 3.0.
Correlation association between groups of data was analysed using nonparametric (Spearman) correlation analysis.
Comparison between groups of data was done by using box-plots.
Statistical significance of differences between groups of data was assessed with the Student's t test.
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Analysis of variance test of variance (ANOVA) for significant differences in means between groups of interval data.
Statistical significance (P < 0.05) between groups of experimental data was assessed using paired Student's t-tests.
Comparisons between groups of categorical data were made using Fisher's exact test or χ2 test where appropriate.
Pearson χ test was used to test the difference between groups of categorical data, including analysis between respondents and non-respondents when pertinent.
We used Student unpaired t-test with two-tailed distribution to assess the statistically significant differences between groups of related data.
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