If the results of a study do not support a hypothesis, it means that the experiment failed.

True or false

If the results of a experiment do not support the hypothesis this does not necessarily mean that the experiment was a failure or that the hypothesis was wrong, but simply that the test that was conducted did not find results that were significant and also showed that the "null hypothesis" was incorrect. Therefore, if a hypothesis is shown to be inaccurate by a particular experiment the issue might need further experimentation because it could be wrong or it could not, but this does not mean the experiment was a failure. In fact proving a hypothesis can be informative for conducting further experiments to conclude what caused the phenomena if not the original hypothesis.