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Statistical analysis: The advantages of non-parametric methods


There are many advantages of non-parametric methods over parametric ones. The advantages can precisely be delineated as under:

  • Any inference based on the parametric analysis which does not uphold the underlying assumptions necessitated for it will be erroeneous.In such a situation non-parametric methods can safely be applied

  • If the measurement scale of data is nominal or ordinal, non-parametric methods can be used

  • In case the measurement are not so accurate as to apply parametric methods, non-parametric methods perform better

  • With so-called dirty data(contaminated observations,outliers,etc.,),many non-parametric methods are appropriate

  • There is no restriction for minimum size of sample for non-parametric methods for valid and reliable results

  • Non-parametric methods require minimum assumption like continuity of the sampled population

  • The analysis of data is simple and involves little computation work

  • Non-parametric test may be quite powerful even if the sample sizes are small

  • Non-parametric test are inherently robust against certain violation of assumptions

These are the reasons Non-parametric methods are widely used in research analysis than parametric methods.


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