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Non-Parametric Statistics does not have any assumptions when dealing with a sample or if the data observed is quantitative. It is an important method especially for instances when data does not have a clear numerical interpretation. As established by online Non-Parametric Test assignment solvers, it is always a good idea to use Non-Parametric Test when dealing with data that has a ranking of sorts. A good example to demonstrate this can be using a personality assessment test. This is true since it will have the metrics of its ranking set as disagree, strongly disagree, agree, indifferent and strongly agree. Such a scenario would be perfect for the Non-Parametric Test to be used.
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