The major factor to be weighed when deciding whether to use a parametric or a nonparametric test is the decision about what aspect of the distribution that you want to compare groups on.

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This is because parametric tests assume that the data follows a specific distribution (usually normal distribution) and require specific assumptions to be met, such as equal variances and independence of observations. On the other hand, nonparametric tests do not assume any specific distribution and can be used when those assumptions are not met. Therefore, the decision about which test to use depends on the distribution of the data and the level of measurement of the variables.

The Major Factor to Be Weighed When Deciding Whether to Use