Final answer:
If the data does not support the hypothesis, the scientist should revise the hypothesis and potentially conduct additional experiments to further investigate the phenomena.
Step-by-step explanation:
What to Do if Data Doesn't Support the Hypothesis
If the data does not validate your experiment's hypothesis in science, the appropriate course of action would be to revise the hypothesis. This step is part of the scientific method, which involves designing and conducting experiments to test the hypothesis. If the results of the experiment are inconsistent with the hypothesis, it suggests that the hypothesis may be incorrect or incomplete. In such a scenario, the hypothesis should either be modified or a new one should be proposed. Conducting additional experiments may also be necessary to test the revised hypothesis or to gain more insights into the phenomenon being studied. It is important to remember that disregarding the data or concluding the experiment without considering the implications of the data would not be in line with scientific processes.