RESEARCH METHODOLOGY

Detailed explanation-1: -The Mann-Whitney U test is used to compare differences between two independent groups when the dependent variable is either ordinal or continuous, but not normally distributed.

Detailed explanation-2: -Mann-Whitney U test is the non-parametric alternative test to the independent sample t-test. It is a non-parametric test that is used to compare two sample means that come from the same population, and used to test whether two sample means are equal or not.

Detailed explanation-3: -A: An independent sample t-test tests for the difference between two groups on your variable of interest when your variable of interest is normal. A mann-whitney u test tests for the difference between two groups on your variable of interest when your variable of interest is skewed.

Detailed explanation-4: -The Mann-Whitney U test is the nonparametric equivalent of the two sample t-test. While the t-test makes an assumption about the distribution of a population (i.e. that the sample came from a t-distributed population), the Mann Whitney U Test makes no such assumption.