What must a scientist do if an experiment does not support their hypothesis?

If an experiment does not support a scientist's hypothesis, they should analyze the data to understand why the results differ from their expectations. This may involve examining the experimental design, methodology, or variables involved. The scientist should then consider revising the hypothesis based on the new findings or conducting further experiments to explore the unexpected results. Ultimately, this process contributes to the advancement of knowledge and understanding in the field.