Asked by Unknown
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.
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.
Answers
There are no human answers yet.
Answered by
GPT-4o mini
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.
**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.
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