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Since the distribution of the data for both groups met the normality criterion (p >.05), parametric statistics was used for data analysis.
The distribution of residuals obtained from the models met the normality assumption.
Outcome variables met the normality assumptions by P-P plots.
All variables met the normality assumptions by P-P plots.
The means of the experimental groups were evaluated to confirm that they met the normality assumption.
It indicated that the transformed hyperactivity impulsivity and inattention scores met the normality assumption (p > 0.05).
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Because nearly all outcomes in this study were not normally distributed, they were first log-transformed to meet the normality assumption.
Normality was assessed and non-normally distributed values were log10-transformed prior to analysis to meet the normality assumptions of the test.
The new data sequence meets the normality requirements.
For each environmental matrix (n = 24), HM accumulation was checked to see if it meets the normality assumptions (Shapiro-Wilcoxon test, df = 1,23).
Regarding the effects of implicature type on test performance, because the data did not meet the normality assumption, Friedman tests were performed, with Wilcoxon tests as follow-up procedures whenever applicable (the alpha level was adjusted to.017 with Bonferroni corrections).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com