Discuss differences in making inferences from parametric and nonparametric data. Discuss methods in which a researcher may decide on size of the sample needed for a research project and what factors may influence his decisions.
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Parametric data vs. Non-Parametric data
Parametric data is used primarily on research data that is associated more often in quantitative research. Parametric data is information that can be measured. For example, heights, weight, depth, blood pressure, medication doses are all forms of parametric data. Interval and ratio measurements are considered parametric. The benefits of using parametric data are that a researcher can draw more conclusions and research inferences from the study than one with non-parametric data (http://changingminds.org/explanations/research/analysis/parametric_non-parametric.htm). Examples of ...
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