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draw conclusions
What else can I help you with?
What can a scientist do if the results of an experiment do not support a hypothesis?
draw conclusions
What options does a scientist have if experiment does not support hypothesis?
a scientist can do another experiment or change their hypothesis.
A scientist who performs an experiment has no idea what the outcome of the experiment is going to be true or false?
True. In an experiment, a scientist formulates a hypothesis, designs the experiment, collects data, and then analyzes the results to draw conclusions. The outcome of the experiment is not known beforehand, and it is the results of the experiment that will either support or refute the hypothesis.
What can scientist do if the result of an experiment do not support a hypothesis?
draw conclusions
What must scientist do if the hypothesis is not supported by experimental results?
You can perform the experiment again to check for errors. The best option is to just state in the conclusion the sources of error and why the experiment didn't support the hypothesis. Remember the hypothesis is only an educated guess.
As a scientist what should you do after concluding that your tests support your hypothesis?
The experiment that you will design is done to test 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
What can scientists 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 hypothesis?
draw conclusions
What does a scientist need to do once an experiment is complete what must a scientist do to determine whether the data support the hypothesis?
They come up with a conclusion to the hypothesis
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 would a scientist deal with an experiment that looked as if it were not going to support the hypothesis?
by doing an ecperment
