Comparison between two groups was determined by the Mann-Whitney test
, t-test, or chi-squared test.
Parametric data were tested by Student's t-test, while nonparametric data were tested by Mann-Whitney test
. The percentage of females that released oocytes was analyzed by the test for difference between two proportions.
conducted between group 1 and group 2 exhibited statistically significant difference between two groups (U= 120; p = 0.001) in favour of group 1 (Mean rank = 41.50) compared to group 2 (Mean rank = 19.50) with more number of successful variables (Table 1).
and Fisher's exact test were applied for data analysis.
Differences in medians between the groups were analyzed using the Mann-Whitney test
for non-normally distributed continuous or ordinal variables.
Post hoc analysis test for Kruskal Wallis test was Mann-Whitney test
. Mann-Whitney test
were conducted between the low and intermediate Hasford score, low and high Hasford score and also intermediate and high Hasford score.
When the effect of irrigant regardless of the sealer was analyzed, saline had the highest immediate leakage rate that was significantly higher than that with DMSO (p=0.032; Mann-Whitney test
The Fisher's exact test and Mann-Whitney test
were used for comparative studies.
Intragroup and intergroup analyses were done using Wilcoxon signed ranked test and Mann-Whitney Test
Since histograms showed that the FACT-G data was not normally distributed, a nonparametric (Mann-Whitney test
) statistical test was used to evaluate pairwise differences between sexes (Female, N=50; Male, N=29).
In Figure 3, age in both groups was presented and Mann-Whitney test
resulted in no statistically important difference between group I and group II.
Statistical analysis was performed by the Mann-Whitney test