Final answer:
Explanatory power is important in assessing the likelihood of a hypothesis as it should be able to explain all available evidence and make testable predictions through experiments.
Step-by-step explanation:
When it comes to assessing the likelihood of a hypothesis, explanatory power is important. An explanatory hypothesis is one that can explain all available evidence.
It should be able to account for the observations and make predictions that can be tested through experiments.
If the experimental results support the predictions of the hypothesis, it increases the credibility of the hypothesis.
However, it is important to conduct multiple experiments that agree with the hypothesis to strengthen its validity.