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Parametric Assumptions
Listed below are the most frequently encountered assumptions for parametric tests. Statistical procedures are available for testing these assumptions. The Kolmogorov-Smirnov Test is used to determine how likely it is that a sample came from a population that is normally distributed. The Levene test is used to test the assumption of equal variances. If we violate test assumptions, the statistic chosen cannot be applied. In this circumstance we have two options:
- We can use a data transformation
- We can choose a nonparametric statistic
If data transformations are selected, the transformation must correct the violated assumption. If successful, the transformation is applied and the parametric statistic is used for data analysis.
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