It will become an Exploit.
theory
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
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.
It's not. Next Answer: It is possible for a properly formulated hypothesis to be accurate even if there is no data yet to support it. A hypothesis is a conjectures or best guess to describe a situation of phenomenon based on available information. Until enough proof is available, the hypothesis may be either incorrect or it may be correct or accurate Once sufficient data is accumulated testingt the hypothesis, the hypothesis is either rejected or accepted.
so you have to put in did it help you explain your hypothesis
Change or abandon your hypothesis.
come up with new hypothesis
You would need to tell us about the data, the hypothesis and so on for us to be able to answer.