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Why is an experiment still valuable even when the hypothesis it is testing is true?
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What is learned if the data from an experiment do not support the. Hypothesis?
some information; the data still provide valuable information about the hypothesis
What is learned if the data from an experiment do not support the hypothesis?
You need to rethink your hypothesis so it is supported by the data.
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.
What is a scientific Theory and how is it different then a hypothesis or a scientific law?
A scientific theory is an experiment that still needs to be tested, but is believed to be true. A hypothesis is a fact and data based guess as to what the result(s) of an experiment will be. A scientific law is proven to be true and states that the results of the experiment will always be the same, and needs no further testing. An example of a scientific theory is the cell theory, which states that all living things are composed of at least one cell and that cells come from other cells.
What do scientists do if their data does not support their hypothesis?
They still chart the data. Then they go back to their hypothesis and change it/fix it up a bit. After they have a new (but one that still relates to their old hypothesis) hypothesis, they re-do their experiment. Ex) "I believe girls have better quiz scores than boys because they have better short term memory" If your hypothesis is incorrect (ie: the boys do better) then you need to change the hypothesis and test it again--> "I believe girls have better quiz scores because they have better long term memory".
What is learned if the data from an experiment do not support the. Hypothesis?
some information; the data still provide valuable information about the hypothesis
What is learned if the data from an experiment do not support the hypothesis?
You need to rethink your hypothesis so it is supported by the data.
When a scientist finds that a hypothesis is wrong the scientist usually?
A hypothesis doesn't necessarily need to be correct. After a scientist has conducted an experiment and discovered that their hypothesis is incorrect, they still have gained the knowledge and the results from their experiment---as well as the correct answer, in some cases. They can use the results from the experiment that tested the original hypothesis to form a new experiment.
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.
What is learned if the data from an experience do not support the hypothesis?
some information; the data still provide valuable information about the hypothesis
How can a rejected hypothesis be of value to a scientist?
the reason why a rejected hypothesis can still be of value to a scientist is because that secific hyothesis may not work for your experiment but it could work for a different experiment/theory
Can a hypothesis still be right even if the experiment says it is wrong?
Yes, although if the experiment is performed correctly there should be relatively little chance of this occurring. This is referred to as a type II error in statistics - the data supports rejecting the hypothesis even though the hypothesis is correct.
What is a scientific Theory and how is it different then a hypothesis or a scientific law?
A scientific theory is an experiment that still needs to be tested, but is believed to be true. A hypothesis is a fact and data based guess as to what the result(s) of an experiment will be. A scientific law is proven to be true and states that the results of the experiment will always be the same, and needs no further testing. An example of a scientific theory is the cell theory, which states that all living things are composed of at least one cell and that cells come from other cells.
What do scientists do if their data does not support their hypothesis?
They still chart the data. Then they go back to their hypothesis and change it/fix it up a bit. After they have a new (but one that still relates to their old hypothesis) hypothesis, they re-do their experiment. Ex) "I believe girls have better quiz scores than boys because they have better short term memory" If your hypothesis is incorrect (ie: the boys do better) then you need to change the hypothesis and test it again--> "I believe girls have better quiz scores because they have better long term memory".
Why a hypothesis could still be correct even though an experiment says the hypothesis is wrong?
if u looked it up on the computer look it up on a different website people like this guy/girl is a big jerk /\
What is the name of a scientific guess?
A hypothesis is a tentative explanation of facts or phenomena. A conjecture is similar to a hypothesis but is an opinion based on speculation or incomplete evidence.
How can finding out that a hypothesis is not correct be useful for scientists?
It's not that it's not correct, it was that the experiment proved it wrong. And it is helpful because it tells the scientist that their idea was incorrect do to speak and that the experiment proved it. You can still write a very good report if the hypothesis was proven wrong
