what is the difference between parametric and non-parametric techniques? Why is the distinction important? Go to Socrative.com and click Student Login, Room Name. JOIN https://b.socrative.com/login/student/ Room: AFSHARI2233 Parametric & Non-Parametric Tests Parametric techniques like T-tests, Analysis of Variance, Pearson Product Moment Correlation, Regression are more powerful than non-parametric tests (e.g., Chi-square tests). If you have the right sort of data, it is always better to use a parametric technique because the results of these statistical techniques are more reliable. However, you should use non-parametric statistics in some situations. Non-parametric techniques are ideal for use when you have qualitative data (Nominal or Ordinal data) and small sample sizes. You can also use non-parametric techniques if the distribution of your data is not normal.
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