so you have to put in did it help you explain your hypothesis
You would need to tell us about the data, the hypothesis and so on for us to be able to answer.
Regroup and propose another theory Propose another hypothesis
A hypothesis comes before data. A hypothesis is an estimated guess to what will happen. And Data is the steps it takes to come to a solution in a problem.
This means the data supported the hypothesis.
Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.
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.
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.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
it gets thrown out because it is irrelivant
1, The hypothesis may have to be revised. 2. The method of accumulating data may be flawed 3. The data may have been contaminated by other sources.
Discard or change the hypothesis.
If your hypthesis is not supported, you may need to think about it; it may then be revised and tested again