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"parametric test" is a correct and usable term in written English.
It is typically used to refer to a type of statistical test that makes certain assumptions about the data being tested. For example, "The parametric test suggested that there was a significant difference between groups."
Exact(22)
Results were confirmed using Mann-Whitney non parametric test.
The significance of the results was determined by using the one-way ANOVA parametric test.
Mann-Whitney non- parametric test was used to compare cytokine levels which were not normally distributed.
Student's t-test or Anova no parametric test (Kruskal-Wallis) was used to test significant differences.
Intragroups comparisons were performed using a non parametric test, the Wilkoxon rank-sum test.
We validated the normality assumption, and proceeded with a parametric test as appropriate.
Similar(38)
ELISA data were analysed with non-parametric test, Kruskal-Wallis (IBM SPSS 22).
The head dips measure was analyzed using a Kruskal-Wallis non-parametric test.
(f) These values are summarised in a table form (Mann-Whitney non-parametric test of significance, **p < 0.01, *p < 0.05).
As data did not meet the assumptions of an ANOVA model a non-parametric test was used.
Non-parametric test confirms the advantage of hybrid GA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com