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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.

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16y ago

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If you posed a hypothetical answer to a research question but then had a hard time finding data that supported your hypothesis what should you do?

Try to come up with a different hypothesis that seems to be supported by the data.


How are a hypothesis and data related?

The hypothesis and the Data are related because the hypothesis is what you think is going to happen, and if you're right, then that becomes the data


What doeshypothesis mean in sicence?

A hypothesis is an idea suggested in order to explain data (information). It's essentially the same as a theory. For example, evolution is a hypothesis that explains why different groups of plants and animals have different similarities. Once a hypothesis has been suggested, you go and collect more data that will either support the hypothesis or contradict it. In the case of evolution, DNA patterns and protein similarities support the hypothesis.


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

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


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 is the difference between a data and a hypothesis?

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


What is measured by the data collected in an experiment?

The data collected in an experiment measures the variables identified in the research question or hypothesis. These measurements help to quantify the relationships between different factors and provide evidence to support or reject the hypothesis.


If the data doesn't support your hypothesis what should you do?

Regroup and propose another theory Propose another hypothesis


What is method of testing different hypothesis?

The method of testing different hypotheses involves formulating testable predictions based on each hypothesis and then conducting experiments or observations to gather data. This data is analyzed statistically to determine the likelihood of the observed results occurring under each hypothesis. Ultimately, the hypothesis that best explains the data or has the highest statistical support is retained, while others may be rejected. This systematic approach ensures rigorous evaluation and comparison of competing explanations.


Do you form a hypothesis before collecting data?

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


Does the data support the hypothesis?

You would need to tell us about the data, the hypothesis and so on for us to be able to answer.


What can you write when your hypothesis is correct?

You write that the data supported your hypothesis.

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