Question

are hypothesis testing procedures that assume that the variables of interest are measured on at least an interval scale.

• A. Parameter tests
• B. Parametric tests
• C. Nonparametric tests
• D. None of these

Hint:

Parametric tests use parameters (mean, SD); nonparametric tests use ranks/orders.

Answer 1

The Correct Option is B

Step 1: Understanding the requirement.
Parametric tests (e.g., t-test, ANOVA, Pearson correlation) assume:
- Data at least on an interval scale.
- Certain distributional forms (often normality).
Step 2: Eliminate distractors.
(a) “Parameter tests” is not standard terminology.
(c) Nonparametric tests require fewer assumptions and can handle ordinal/nominal data.
(d) Incorrect since (b) is correct. \[ \boxed{(b)} \]