Parametric tests require data to be "interval" or "ratio" and normally distributed. If you apply them to ordinal scales: Outliers can heavily skew the mean.
The middle value is the best measure of central tendency for ordinal data. Parametric tests require data to be "interval" or
The Mann-Whitney U test compares differences between two independent groups (e.g., Satisfaction levels between a Control Group and an Experimental Group). It ranks all data points from both groups together and tests if one group tends to have higher ranks than the other. Parametric tests require data to be "interval" or
Parametric tests require data to be "interval" or "ratio" and normally distributed. If you apply them to ordinal scales: Outliers can heavily skew the mean.
The middle value is the best measure of central tendency for ordinal data.
The Mann-Whitney U test compares differences between two independent groups (e.g., Satisfaction levels between a Control Group and an Experimental Group). It ranks all data points from both groups together and tests if one group tends to have higher ranks than the other.