What happens when a hypothesis is not supported?
If the initial hypothesis is not supported, you can go back to the drawing board and hypothesize a new answer to the question and a new way to test it.
Is an experiment valid if the hypothesis is not supported by the results?
It is by no means a failure if your data do not support your hypothesis; in fact, that can be more interesting than the other way around, because you may find a new perspective for looking at the data. Failure to support hypotheses is common in science, and often serves as a starting point for new experiments.
What do scientists do if the results of an experiment do not support the hypothesis?
If it does not support the hypothesis, the scientist may choose to change the hypothesis or write a new one based on what was learned during the experiment. In the example, if the scientist proves that larger spiders build stronger webs, then that is the conclusion.
Can a hypothesis be revised?
Upon analysis of the results, a hypothesis can be rejected or modified, but it can never be proven to be correct 100 percent of the time. For example, relativity has been tested many times, so it is generally accepted as true, but there could be an instance, which has not been encountered, where it is not true.
What should you do if your hypothesis is incorrect?
When a hypothesis fails, the first thing you should do is examine the data closely. Then use your research and data to determine a possible reason why the hypothesis was incorrect. Once you come up with a reason your hypothesis may have failed, you can start thinking of ways to check your assumption.
How do you know if a hypothesis is correct?
Make sure your hypothesis is “testable.” To prove or disprove your hypothesis, you need to be able to do an experiment and take measurements or make observations to see how two things (your variables) are related. You should also be able to repeat your experiment over and over again, if necessary.