The test statistics for this hypothesis follows an approximate F distribution and therefore yields an F test statistic which can be used to evaluate statistical significance.
The strength of association was assessed by calculating the odds ratios and 95% confidence intervals and the Z-test was used to evaluate statistical significance with P-values<0.01 considered as statistically significant.
The Student's t-test was used to evaluate statistical significances and values with P<0.05 were considered as statistically different.
χ2 was used to evaluate statistical significance between grade of lesion (normal/benign, ASC-US, LSIL and HSIL) and HPV genotypes found in the study.
The Kaplan Meier method was used to plot survival curves and the log rank test was used to evaluate statistical differences.
Simulated data based on a known probability distribution, though, can be used to evaluate statistical methods.
Analysis of variance (ANOVA) was used to evaluate statistical significance among groups, and the Duncan method was used for multiple comparisons evaluated at p < 0.05 or p < 0.01 with SPSS 17.0 (Chinese version).
The changes in bone width and height between the two groups were calculated, and Mann-Whitney U test (SPSS Inc., Chicago, IL, USA) was used to evaluate statistical significance.
Student's t-test was used to evaluate statistical significance (defined as P<0.05).
Two-sample t-test and Chi square test were used to evaluate statistical significance.
One-way ANOVA was used to evaluate statistical significance when more than two groups were compared.
