If an experiment disproves a scientist's hypothesis, what should the scientist do next?
1. Develop a testable question.
2. Revise the hypothesis and try the experiment again.
3. Develop a theory based on the data gathered in the experiment.
4. Change the dependent variable.
Is it 2?
Yes, option 2 is the correct answer. When an experiment disproves a scientist's hypothesis, the scientist should revise the hypothesis and try the experiment again. This is because a hypothesis is a proposed explanation or prediction for a phenomenon, and if the experiment produces results that contradict the hypothesis, it indicates that the initial hypothesis was incorrect or incomplete.
To revise the hypothesis, the scientist should analyze the data from the experiment, identify any patterns or trends, and consider alternative explanations that align with the observed results. The revised hypothesis should be based on the new insights gained from the initial experiment, and it should be testable and capable of being supported or refuted through further experimentation.
By revising the hypothesis and conducting additional experiments, the scientist can refine their understanding of the phenomenon under investigation and work towards developing a more accurate explanation or theory.