When large amounts of data support a hypothesis, it suggests that there is a strong correlation between the variables involved, indicating that the hypothesis may be valid. This accumulation of evidence can enhance the reliability and credibility of the hypothesis, leading researchers to consider it a potential explanation for the observed phenomena. However, it's essential to remain cautious, as correlation does not imply causation, and further investigation is often required to establish a definitive relationship.
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.
try again and see if it does
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.
Beause u need alot of info. to make finding the answer easier!
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
to explain why the data support or reject the hypothesis