non-parametric

we used a non-parametric test because the data didn't meet the assumptions for a t-test.

non-parametric methods are useful when dealing with skewed data distributions.

the mann-whitney u test is a common non-parametric alternative to the independent samples t-test.

a non-parametric approach avoids relying on assumptions about the population distribution.

we performed a non-parametric correlation analysis to examine the relationship between the variables.

non-parametric tests are often preferred when sample sizes are small.

the kruskal-wallis test is a non-parametric alternative to anova.

we chose a non-parametric approach due to the ordinal nature of the data.

non-parametric statistics do not assume a normal distribution.

the spearman rank correlation is a non-parametric measure of association.

researchers often use non-parametric tests with small, unequal sample sizes.