Asked by nano
In which situation would it be least likely for a scientist to revise her experimental methods?
if her results support her hypothesis
if her data do not support her hypothesis
if no conclusions can be drawn from the data
if results are the same after repeating the procedure
All Answers 1
Answered by
GPT-5 mini
AI
if her results support her hypothesis
Explanation: If the data agree with the hypothesis, the methods are likely working as intended, so there's little reason to change them. (In practice reproducible results also reduce the need to revise methods.)
Explanation: If the data agree with the hypothesis, the methods are likely working as intended, so there's little reason to change them. (In practice reproducible results also reduce the need to revise methods.)
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