Question

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

Explanation:

• If results support the hypothesis, it indicates the experimental methods are likely valid.
• If data don't support the hypothesis, methods might be flawed.
• If no conclusions from data, methods may need revision.
• If results same after repeating, it shows consistency, but less likely to revise methods compared to when results support hypothesis (as supporting hypothesis is a stronger indication of method validity).

Answer:

if her results support her hypothesis