After the data is analyzed in the scientific method, the next step typically involves interpreting the results to determine whether they support or refute the initial hypothesis. Based on this interpretation:
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Hypothesis Accepted: If the analysis shows that the data supports the hypothesis, the hypothesis can be accepted. This does not prove the hypothesis to be absolutely true, as new evidence could emerge later, but it is considered valid based on the current evidence.
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Hypothesis Rejected: If the analysis indicates that the data does not support the hypothesis, the hypothesis is rejected. In this case, researchers may need to revise their hypothesis or formulate a new one based on the findings.
In summary, after data analysis, you conclude whether to accept or reject the hypothesis, which may lead to further experimentation, refinement of the hypothesis, or the formation of new hypotheses.
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