Question

statistical tests that compare two or more groups are known as tests.
the assumption that the data comes from a normally distributed population is crucial for many tests.
non - tests do not assume a specific distribution for the data.

Explanation:

• Comparing groups: Statistical tests that compare two or more groups are called inferential tests. Inferential statistics draw conclusions about populations based on sample data.
• Normal distribution assumption: The assumption of normality is crucial for parametric tests. Parametric tests rely on assumptions about the population distribution (e.g., t - tests, ANOVA).
• No distribution assumption: Non - parametric tests do not assume a specific distribution. They are distribution - free (e.g., Wilcoxon, Kruskal - Wallis).

Answer:

1. Inferential
2. Parametric
3. Parametric