First off, terrible spelling. Second, it's called the scientific theory, if their data doesn't match something in their hypothesis, they go back to the beginning, make a new one, and re-experiment. It's a process that keeps going like a cycle until their answer is a achieved.
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.
Discard or change the hypothesis.
come up with new hypothesis
Change or abandon your hypothesis.
so you have to put in did it help you explain your hypothesis
If your data does not support your hypothesis, it means that there is not enough evidence to conclude that your hypothesis is true. In such cases, you may need to reconsider your hypothesis, collect additional data, or revise your experimental approach. It is important to acknowledge and learn from results that do not support your initial hypothesis in order to refine your research and understanding.
You would need to tell us about the data, the hypothesis and so on for us to be able to answer.
some information; the data still provide valuable information about the hypothesis
some information; the data still provide valuable information about the hypothesis
Regroup and propose another theory Propose another hypothesis
to explain why the data support or reject the hypothesis