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Non parametric test does not consider anything about the underlying distribution and can be used when the data isn’t normal. 1.The variable of interest are measured on nominal/ordinal scale. 2.Non parametric test doesn’t consist of any information regarding the population. 3.This test can be applied to both variables as well as attributes.

Parul, parametric tests are used for normally distributed data. Theses tests have higher statistical power. 1.Here the test statistic is based on distribution. 2.The measurement of variables of interest is done on interval/ratio level. 3.Parametric test can be applied only for the variables. 4.Provides complete information about the population.

Parul, parametric tests can perform well with skewed and non normal distributions and has more statistical power than any other tests. For non-parametric refer http://www.yourarticlelibrary.com/statistics-2/non-parametric-tests-concepts-precautions-and-advantages-statistics/92360

Thank you people for clearing my doubts.