Lesson 1: PARAMETRIC TESTS
The course in Quantitative Research contains the following:
- Lessons in video format with explaination of theoratical content.
- Complementary activities that will make research more about the topic , as well as put into practice what you studied in the lesson. These activities are not part of their final evaluation.
- Texts supporting explained in the video.
In statistics, parametric and nonparametric methodologies refer to those in which a set of data has a normal vs. a non-normal distribution, respectively. Parametric tests make certain assumptions about a data set; namely, that the data are drawn from a population with a specific (normal) distribution. Non-parametric tests make fewer assumptions about the data set. The majority of elementary statistical methods are parametric, and parametric tests generally have higher statistical power. If the necessary assumptions cannot be made about a data set, non-parametric tests can be used.