If an experiment disproves a scientist’s hypothesis, what should the scientist do next?
Develop a testable question.
Revise the hypothesis and try the experiment again.***
Develop a theory based on the data gathered in the experiment.
Change the dependent variable.
Agree
The correct answer is: Revise the hypothesis and try the experiment again.
When an experiment disproves a scientist's hypothesis, it means that the observed results are not supporting the initial prediction or explanation. In this case, the scientist should revise the hypothesis and make necessary changes based on the new evidence or data gathered from the experiment.
Revising the hypothesis involves making adjustments to the initial prediction based on the observed results, possibly considering alternative explanations or factors that might have affected the outcome. By revising the hypothesis, scientists can refine their understanding of the subject and develop a new prediction to test in future experiments.
Once the hypothesis is revised, it is then important for the scientist to perform the experiment again, taking into account any adjustments made to the initial hypothesis. This allows for further investigation and testing to gather more evidence and determine if the revised hypothesis is more accurate or closer to the truth.
It's worth noting that the process of revising and retesting hypotheses is an integral part of the scientific method. Scientists constantly refine their understanding through experimentation, hypothesis formulation, and revision, in an ongoing process of learning and discovery.