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What does it mean if the experiment does not support a hypothesis?
Wiki User
∙ 14y ago
no because the hypothesis is a guess to try and predict of what the conclusion is going to be, and it dosent matter if it dosent support the conclusion the experiment is still right
Wiki User
∙ 14y ago
Wiki User
∙ 14y agoIt could mean a lot of things, and not necessarily your experiment was a failure.
In 1938, Roy Plunkett wrote a hypothesis that if he were to react perfluoroethylene with chlorine, he would get a very good new refrigerant. His hypothesis failed because the perfluoroethylene was delivered in a steel cylinder. While it was waiting to be experimented with, the stuff polymerized into a solid, so he wasn't able to react it with chlorine. He cut the cylinder open and discovered the solid was extremely slick--today DuPont does this on purpose and calls the product Teflon.
Another failed hypothesis. A British pharmaceutical company invented a new drug named sildenafil. Their hypothesis was it would lower blood pressure. It doesn't do that, but they discovered it will cause impotent men to have erections. Today the drug is sold as Viagra.
Wiki User
∙ 9y agoa hypothesis is given to explain a phenomena which has not been explained till then. it can be supported by an experiment if that experiment gets the other results regarding that particular phenomena in agreement with that being predicted by the hypothesis and if any contradictory fact arises or the result doesnt match the prediction then the hypothesis is again thought upon or totally discarded at times
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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.
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.
What does it mean if an experiment does not support 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.
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.
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
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.
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.
What does it mean if an experiment does not support 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.
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.
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
