What happens if the data do not support the hypothesis?

What happens if the data do not support the hypothesis?

• A. The hypothesis is considered refuted.
• B. The hypothesis is strengthened.
• C. The hypothesis automatically becomes a theory.
• D. The hypothesis is revised and tested further.

Answer: (A)

When data contradict a hypothesis, the proposed explanation does not describe what actually happens under the tested conditions. In science, predictions must be testable and open to falsification, so results that fail to match the prediction lead to the hypothesis being refuted. This reflects the idea that ideas must be able to be proven false to be scientifically meaningful. The immediate takeaway is that the hypothesis is not supported by the evidence and should be rejected or revised, with new experiments designed to test the revised idea. Strengthening would require supportive data, not contradictory results. Becoming a theory would require a broad, consistent body of evidence across many studies. After a refutation, revising and retesting is a common next step, but the key point from the data not supporting the hypothesis is that it is refuted.

When data contradict a hypothesis, the proposed explanation does not describe what actually happens under the tested conditions. In science, predictions must be testable and open to falsification, so results that fail to match the prediction lead to the hypothesis being refuted. This reflects the idea that ideas must be able to be proven false to be scientifically meaningful.

The immediate takeaway is that the hypothesis is not supported by the evidence and should be rejected or revised, with new experiments designed to test the revised idea. Strengthening would require supportive data, not contradictory results. Becoming a theory would require a broad, consistent body of evidence across many studies. After a refutation, revising and retesting is a common next step, but the key point from the data not supporting the hypothesis is that it is refuted.