What could be two reasons why the data might not support the hypothesis?

Below are the  two reasons why the data might not support the hypothesis:

1) The hypothesis was wrong 
2) The data is wrong

A hypothesis is a proposed thought that may clarify a perception or marvels. It is confirmed by testing it. In the event that the information bolsters the theory, at that point, we view the speculation as checked and genuine. Assuming, be that as it may, the information does not bolster the speculation or discredits it, at that point the theory is in a bad position, and we need to concoct an alternate speculation to clarify the perceptions.

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