What does it mean for a hypothesis to have explanatory power?

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

The hypothesis has an independent and a dependent variable.

The hypothesis is testable.

The hypothesis has no evidence to support it.

1 answer

The statement that best describes what it means for a hypothesis to have explanatory power is:

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

A hypothesis with strong explanatory power can account for a variety of observations and empirical data, providing a framework for understanding phenomena and predicting outcomes in diverse situations. While testability is also an essential feature of a good hypothesis, the key aspect of explanatory power is its ability to effectively explain and integrate findings across different contexts.