Table 6 presents the
Friedman test for these algorithms, ranked as FTBA-TC < CP1-4 < FTBA, confirming that the FTBA-TC performance of these three algorithms was superior.
The score is significantly higher for Op group in T1 compared to T0 (
Friedman test, ** p < 0.01).
Accordingly, the
Friedman test, which can be used regardless of the normality, was conducted.
Friedman test results showed that Kai-squared statistic is 265.392 and this shows that the averages of the investigated components are significantly different (p<0.05).
Friedman test results for the effective economic factors in urban sustainable development
Observing the results of
Friedman test in table 9 shows that there is a meaningful difference between indexes that form marketing mix model in both current and desirable conditions.
In this study chi-square was used to test statistical hypotheses and to rate the hypotheses
Friedman test was used.
We compared obstacles by using non-parametric
Friedman test and the results indicated that importance of internal and external barriers are essential and importance of internal barriers is more than external.
The findings of
Friedman test: Based on examining the equality of the ranks the reasons of using accounting techniques are shown in Table 6.
In addition to, results of the
Friedman test showed that the significant value of the test is less than 0.05 so the hypothesis of equality of the variables is rejected.
Therefore, we can say with the confidence of 95 percent that from the view point of the respondents which all of the research In addition to, results of the
Friedman test showed that the significant value of the test is less than 0.05 so the hypothesis of equality of the variables is rejected.
6.10) [21], except for the
Friedman test performed with SPSS for Windows [22].
