Which Hypothesis Tests for Cause-and-Effect Relationships?

The answer is C. Causal hypothesis. Here's why:

• Causal hypothesis: This type of hypothesis specifically aims to determine if a change in one variable causes a change in another. It explores cause-and-effect relationships.

Let's look at the other options:

• A. Directional relationship: While a causal hypothesis implies a directional relationship (one variable influences the other), a directional relationship alone doesn't confirm causation. It only indicates the direction of change between variables. * B. Studying hypothesis: This is a general term referring to the examination of any type of hypothesis and doesn't specify a cause-and-effect relationship.* D. Relational hypothesis: This type of hypothesis explores whether a relationship exists between variables but doesn't necessarily imply that one variable causes changes in the other. The relationship could be due to other factors or simply a correlation.

In summary: To determine if a change in one variable leads to a change in another, you need to investigate a causal hypothesis.