some information; the data still provide valuable information about the hypothesis
It could point to that the hypothesis was wrong.
You need to rethink your hypothesis so it is supported by the data.
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.
Propose another hypothesis; the hypothesis is revised and another experiment is conducted.
end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
It could point to that the hypothesis was wrong.
You need to rethink your hypothesis so it is supported by the data.
some information; the data still provide valuable information about the hypothesis
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.
Propose another hypothesis; the hypothesis is revised and another experiment is conducted.
end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
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.
An experiment is performed to generate more data. If the data proves to not support the hypothesis the experiment was still useful. You could reproduce your experiment to see if it is performing the way it should. After you have confirmed the experiment is performing correctly you then could devise another experiment to further test your hypothesis or accept the result and revise your 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.
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.