Parametric Tests: Definition and Characteristics

The larger the sample, the more accurate the estimate in parametric tests. Conversely, the smaller the sample, the more distorted the sample mean will be by extreme odd values. Parametric tests are statistical significance tests that quantify the association or independence between a quantitative variable and a categorical variable (1). Remember that a categorical variable is one that divides individuals into groups. However, this type of test requires certain prerequisites for its application. What are they? For example, let’s say that you want to compare two groups. To check whether you can apply parametric tests, you’ll first have to check…