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Give at least two reasons why an experiment might not support a hypothesis even when the hypothesis is correct?
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∙ 10y ago
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∙ 10y ago
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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
America's top corporations are successful for a variety of reason. what are some of those reasons?
== == America's top corporations are successful for a variety of reasons, what kinds of supporting paragraphs are appropriatwe to support this topic?
Identify and explain seven7 reasons why study Economics as a discipline?
economics essentially is the way of life and every business student must economics. Identify and explain five reasons that support the argument.
How can the global hawk data be analyzed to support conclusions?
NASA develops a hypothesis and Global Hawk will help prove or disprove their theory using samples, temperature and dew point, using infrared pictures, and other devices it is equipped with.
What is an example of a price support?
A price support is a type of
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 might be two reasons why the data might not support the hypothesis?
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.
What could be the two reasons why the data might not support the hypothesis?
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.
What could be two reasons why the data might not support the hypothesis?
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.
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.
What options does a scientist have if experiment does not support hypothesis?
a scientist can do another experiment or change their hypothesis.
is it true that an experiment is meant to prove that the hypothesis is correct?
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.
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
