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1, The hypothesis may have to be revised.

2. The method of accumulating data may be flawed

3. The data may have been contaminated by other sources.

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Q: What happens when the data from an investigation does not support the hypothesis?
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Related questions

What happens when the data in an investigation does support the original hypothesis?

You can throw out the hypothesis, reimagine it, or make a brand new guess.


What happens when the data in an investigation does not support the original hypothesis?

You can throw out the hypothesis, reimagine it, or make a brand new guess.


What happens when the data in an investigation do not support th original hypothesis?

it gets thrown out because it is irrelivant


What is the next step if the data from investigation does not support the original hypothesis?

If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.


What happens when the data doesn't support the hypothesis?

Change or abandon your hypothesis.


What happenes when the data in an investigation does not support the original hypothesis?

You can throw out the hypothesis, reimagine it, or make a brand new guess.


What happened when the data in an investigation does not support the original hypothesis?

You can throw out the hypothesis, reimagine it, or make a brand new guess.


What is the next step if the data from an investigation does not support the original hypothesis?

If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.


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.


How can data not support your hypothesis?

If your hypothesis is totally incorrect then it is quite likely that the data will not support it.