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end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
draw conclusions
draw conclusions
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.
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.
end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
draw conclusions
draw conclusions
draw conclusions
draw conclusions
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.
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.
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To idicate what specific results will support a hypothesis
Throw away that hypothesis because it is wrong. Form a new, different hypothesis and design and undertake experiments to test that one.
An experiment might not support a hypothesis even if the hypothesis is correct because if the conclusion
They should try again. Then check very carefully and see if they did the experiment correctly. They may have to change their hypothesis.