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:

When results are consistent after repeating a procedure, it indicates that the experimental methods are likely reliable and do not necessarily need revision. In contrast, when data doesn't support the hypothesis or no conclusions can be drawn, it often points to flaws in the experimental design or methods.

Answer:

if results are the same after repeating the procedure