What does it mean for a hypothesis to have explanatory power?(1 point)

Question

Responses

The hypothesis has an independent and a dependent variable.
The hypothesis has an independent and a dependent variable.

The hypothesis has no evidence to support it.
The hypothesis has no evidence to support it.

The hypothesis has been tested many times and over a wide variety of conditions.
The hypothesis has been tested many times and over a wide variety of conditions.

The hypothesis is testable.

Answer 1

For a hypothesis to have explanatory power, it means that the hypothesis is able to effectively account for and clarify observed phenomena, leading to predictions that can be supported by evidence. However, among the given choices, the most relevant option is:

The hypothesis has been tested many times and over a wide variety of conditions.

This indicates that the hypothesis has robust support and can explain various situations, which is typically related to its explanatory power.