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When the evidence in a scientific experiment does not support the hypothesis what should the scientist do?
When the evidence in a scientific experiment does not support the hypothesis the scientist:Confirm through repeated experimentation that the evidence is validReject the hypothesisDevelop another hypothesis that is consistent with the valid evidence
What should be done with the data that does not support the hypothesis?
draw up a new hypothesis based on your research
What can scientists do if the results of an experiment do not support a hypotheses?
They should try again. Then check very carefully and see if they did the experiment correctly. They may have to change their hypothesis.
Is a scientific theory a controlled experiment?
No - you can use evidence from an experiment to support a theory, but they are not the same thing. A theory is an idea as to why something is, how it works, etc. that is strongly supported by evidence. An experiment is set up in order to gather information to support a theory or to help a hypothesis become a theory.
If the result from your investigation do not support your hypothesis what should you do?
Revise or discard your hypothesis.
Two reason why an experiment might not support a hypothesis even when the hypothesis is correct?
An experiment might not support a hypothesis even if the hypothesis is correct because if the conclusion
What options does a scientist have if experiment does not support hypothesis?
a scientist can do another experiment or change their hypothesis.
Should the hypothesis be supported or rejected based on the experiment?
That depends on the result of the experiment. The experiment is a way to test a hypothesis, and it's completely fine if the experiment disproves the hypothesis. Ideally, though, the experiment will support the hypothesis.
A researcher finds that her data does not support her hypothesis what conclusion can she reach?
end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
The results of an experiment do not support the hypothesis that the experiment was designed to test Was the experiment a waste of time?
The purposes of testing a hypothesis is to test it. Pass or fail, the experiment is a "success" if it does that - tests the hyposthesis. If the results don't support the hypothesis, then that is valuable data that helps you either abandon or refine the hypothesis.
How did your experiment prove or disprove the hypothesis?
That depends on the result of the experiment. The experiment is a way to test a hypothesis, and it's completely fine if the experiment disproves the hypothesis. Ideally, though, the experiment will support the hypothesis.
When the evidence in a scientific experiment does not support the hypothesis what should the scientist do?
When the evidence in a scientific experiment does not support the hypothesis the scientist:Confirm through repeated experimentation that the evidence is validReject the hypothesisDevelop another hypothesis that is consistent with the valid evidence
What do you have to do before you perform your experiment?
You want to have a hypothesis to test. A hypothesis is kind of like a reasoned guess what you expect to happen. The results of your experiment will either support your hypothesis or it wont.
What can scientist do if results of an experiment do not support a hypothesis?
draw conclusions
What can scientist do if the result of an experiment do not support a hypothesis?
draw conclusions
What can a scientist do if the results of an experiment do not support a hypothesis?
draw conclusions
What can scientists do if the results of an experiment do not support a hypothesis?
draw conclusions
