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If your experiment does not support your hypothesis then you should change your data to support your hythesis?
Wiki User
∙ 14y ago
No. It just means that what you hypothesized would happen didn't. You shouldn't change anything. A hypothesis is simply a guess on what will happen, so if your guess isn't true that's okay.
Wiki User
∙ 14y ago
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What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
The difference between the independent and dependent variables?
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
Is the probability of an event in an empirical experiment may change from experiment to experiment?
Yes.
Why is it important to not change your variable in an experiment?
If you change more that one variable in an experiment, then when the result occurs, you won't know which variable caused the change.
What is constants in an experement?
A constant in an experiment is the object or value that does not change through out the experiment.
What options does a scientist have if experiment does not support hypothesis?
a scientist can do another experiment or change their hypothesis.
If your experiment does not support your hypothesis you should change your data to give support to the hypothesis. true or false?
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
True or false If your experiment does not support your hypothesis you should change your data to give support to the hypothesis?
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
What can scientists do if the results of an experiment do not support a hypotheses?
They should try again. Then check very carefully and see if they did the experiment correctly. They may have to change their hypothesis.
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
What happens when the data doesn't support the hypothesis?
Change or abandon your hypothesis.
What is the one variable A change in an experiment to test a hypothesis?
Manipulated variable
What is one variable that is change in an experiment to test a hypothesis?
Manipulated variable
What would a scientists next steps be if his or her data failed to support his or her hypothesis?
Discard or change the hypothesis
What would a scientist next steps be if his or her data failed to support his or her hypothesis?
Discard or change the hypothesis
When can scientific theory be change?
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
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".
