Parametric Tests In statistical analysis , all parametric tests assume some certain characteristic about the data, also known as assumptions. Violation of these assumptions changes the conclusion of the research and interpretation of the results. Therefore, all research, whether for a journal article, thesis, or dissertation, must follow these assumptions for accurate interpretation depending on the parametric analysis, the assumptions vary. The following are the data assumptions commonly found: in statistical research: Assumptions of normality: Most of the parametric tests require that the assumption of normality be met. Normality means that the distribution of the test is normally distributed (or bell-shaped)means 0 mean, with 1 standard deviation and a symmetric bell-shaped curve. To test the assumption of normality, the following measures and tests can be applied: · Skewness and Kurtosis: T...
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