When an experiment is repeated and the new results are different from the original results, what could you assume to be true?
a) the first set of results must be incorrect and thrown out.
b) the second set of results must be inaccurate and thrown out.
c) the experimental design must be flawed and should be scrapped.
d) the original experiment may be inaccurate and further experimentation is needed.