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 may need revision.
• If no conclusions from data, methods might be flawed.
• If results same after repeating, it shows consistency (but not as strong as supporting hypothesis).

Answer:

if her results support her hypothesis