Answer:
- First choice: <em>The hypothesis is revised and another experiment is conducted. </em>
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Explanation:
Citing myself from brainly.com/question/12687503, a hypothesis is a reasonable explanation of a phenomenon, which tries to relate a cause with an effect, and that can be testable.
The outcome of the test can either support the hypothesis or reject it.
Both results, either supporting or rejecting the hypothesis, are good for science and help to the development of the scientific knowledge.
Hence, the fact that the data from an experiment do not support the original hypothesis is not a bad thing. The same scientist or other from the scientific community will be able to revise the hypothesis and conduct another experiment, as the first answer choice proposes.
The data are supposed to be correct, unless the analysys, not the conclusion, suggests some errors in the measures or collection of the data. So, it is not the fact that the data do not support the original hypothesis what conducts to run the experiment again (second choice is wrong, then).
The revision of the data to support the hypothesis (third choice) or adjustment of the data to match the observations (fourth hypothesis) are contrary to good practices, so they are also discarded.
