What does it mean for a hypothesis to have explanatory power?(1 point) Responses 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. The hypothesis is testable. The hypothesis has an independent and a dependent variable

1 answer

For a hypothesis to have explanatory power, it means that the hypothesis can provide a clear and coherent explanation for a set of observations or phenomena. Among the given options, none specifically address the concept of explanatory power directly. However, the closest implication is that a hypothesis with explanatory power is often well-supported by evidence, can make predictions, and is capable of being tested under various conditions.

Therefore, the most relevant option in a general context would be: "The hypothesis has been tested many times and over a wide variety of conditions." This indicates that the hypothesis has shown its ability to explain and predict outcomes consistently, which is a key component of its explanatory power.

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