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Q: How are a hypothesis and data related?

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You write that the data supported your hypothesis.

Discard or change the hypothesis.

Yes. The data must not be allowed to influence the choice of the hypothesis.

The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.

come up with new hypothesis

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A model is an explanation of why an event occurs, and how data and events are related. So theories and hypothesis are testable statements and broad generalizations to compare data and to collect data.

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

When a hypothesis is not supported by data, two possibilities exist. The hypothesis can either be rejected and a new one is formulated, or more data is required to retest the hypothesis.

A hypothesis comes before data. A hypothesis is an estimated guess to what will happen. And Data is the steps it takes to come to a solution in a problem.

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

You need to rethink your hypothesis so it is supported by the data.

data is something where you chart something and a hypothesis is a educational guess

This means the data supported the hypothesis.

You write that the data supported your hypothesis.

Discard or change the hypothesis.

If data is an outlier, or does not fit with the other data, omit it. If the information gathered does not support your hypothesis, and you are sure that you have correct data that supports your hypothesis, check your information again, and maybe to the experiment again. If the data does not support your hypothesis and it is correct data, then you need to state this and why it is so in the discussion and the conclusion.

If the experimental data does not support the hypothesis, then the hypothesis is "falsified", meaning that it has been shown to be false. The hypothesis must be revised or discarded.

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