Question

Advantages of nonparametric test in statistics

Answer 1

Advantages of Non-Parametric Tests:

1. If the sample size is very small, there may be no alternative to using a non-parametric statistical test unless the nature of the population distribution is known exactly.

2. Non-parametric tests typically make fewer assumptions about the data and may be more relevant to a particular situation. In addition, the hypothesis tested by the non-parametric test may be more appropriate for the research investigation.

3. Non-parametric statistical tests are available to analyze data which are inherently in ranks as well as data whose seemingly numerical scores have the strength of ranks. That is, the researcher may only be able to say of his or her subjects that one has more or less of the characteristic than another, without being able to say how much more or less.

For example, in studying such a variable such as anxiety, we may be able to state that subject A is more anxious than subject B without knowing at all exactly how much more anxious A is.