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Change or abandon your hypothesis.

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15y ago

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What should you do if your data doesnt support your hypothesis?

Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.


What happens if our data does not support our hypothesis?

If your data does not support your hypothesis, it means that there is not enough evidence to conclude that your hypothesis is true. In such cases, you may need to reconsider your hypothesis, collect additional data, or revise your experimental approach. It is important to acknowledge and learn from results that do not support your initial hypothesis in order to refine your research and understanding.


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 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 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 does support the original hypothesis?

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


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.


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

it gets thrown out because it is irrelivant


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

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.


What do you do if your data doesnt support your hypothesis and you have run it multiple times?

If your hypthesis is not supported, you may need to think about it; it may then be revised and tested again


What do scientist do when their data does not support their hypothesis?

Discard or change the hypothesis.

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