To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
some information; the data still provide valuable information about the hypothesis
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
Propose another hypothesis; the hypothesis is revised and another experiment is conducted.
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
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.
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of 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