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.