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Question
when an experiment is repeated and the new results are different from the original results, what could you assume to be true? a the experiment is flawed and must be redesigned. b the results from the second experiment can be ignored. c both sets of results may be inaccurate for a variety of reasons. d there is nothing wrong with either results, they are both accurate.
In scientific experiments, it's common for results to vary. Just because two experiments have different results doesn't mean one is flawed (so A is wrong). We can't ignore the second result (so B is wrong). Saying there's nothing wrong with either result is too extreme as there could be errors. However, multiple factors like measurement errors, environmental differences, or sample variations can cause different results. So both sets of results may be inaccurate for a variety of reasons.
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C. Both sets of results may be inaccurate for a variety of reasons.