Each statistical test comes with its own set of assumptions. Failing to meet these assumptions can invalidate your results. Common assumptions include:
- Normality: The data should be normally distributed. - Homogeneity of Variance: The variance among groups should be equal. - Independence: Observations should be independent of each other.
