Tag: non parametric tests

Statistical tests can be either parametric or non-parametric.

Parametric Tests: The Power of Normality

• Parametric tests assume an approximately normal distribution.
• They involve continuous or interval-type variables and require a sufficiently large sample size (typically > 30).
• They also assume homogeneity of variances (homoscedasticity).

These tests have a higher statistical power because they provide a greater probability of correctly rejecting a false statistical hypothesis.

Continue reading “Statistical Parametric and Non-Parametric Tests”