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Levene's Test was conducted for assessing the equality of variances in preparation for independent-samples t test.
Kendall's coefficient of concordance (W), which is equivalent to the more well-known Friedman test χ statistic for assessing the equality of treatments in a randomized, complete block design [ 42, 43], was computed to see if the rankings assigned by the respondents showed any statistically significant disagreement [ 37].
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The Log-Rank and Breslow tests were used to assess the equality of the survival curves.
Levene's test was used to assess the equality of variances of parameter estimates.
Levene's test was used to assess the equality of variances.
Levene test was used to assess the equality of group variances on the dependant variables.
F-tests were used to assess the equality of variances between two samples.
By analogy with the interaction effect case, the ordinary k sample tests are applied, but this time, to assess the equality of the individual means in the groups.
The KS test diagnostic was used to assess the equality of distributions of the observed and imputed X values for each of the scenarios.
Data obtained in viability, ALP, P1NP, and osteocalcin assays were analyzed with SPSS software, using the test of Levene to assess the equality of variances.
The T-test was used to compare differences between reconstruction groups and the Levene´s- test to assess the equality of variances between samples.
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