When is a hypothesis likely to be discarded rather than revised?
A. when results of many different experiments repeatedly
support the hypothesis
B.
when results of many
different experiments repeatedly
C.
fail to support the hypothesis
when results of only some experiments support
the hypothesis
D. when results of different experiments seem to support
the hypothesis



Answer :

When a hypothesis is likely to be discarded rather than revised: - C. when results of many different experiments repeatedly fail to support the hypothesis Explanation: When results from numerous experiments consistently do not support the initial hypothesis, it indicates a significant lack of evidence or contradiction with the proposed idea. In such cases, the hypothesis is likely to be discarded because the repeated failure to find supporting evidence suggests a fundamental flaw in the initial assumption or prediction. This signifies a need to reassess the hypothesis entirely rather than making minor revisions. For instance, if a hypothesis suggests that a certain drug is effective in treating a specific condition, but multiple experiments consistently show no improvement in patients treated with the drug compared to a control group, the hypothesis would likely be discarded rather than revised. This is because the lack of supporting evidence across various experiments undermines the credibility and validity of the initial hypothesis.