Final answer:
When experimental results differ from the original, it suggests that the hypothesis being tested may not be accurate or complete.
Step-by-step explanation:
When an experiment is repeated and the new results are different from the original results, it can be assumed that the hypothesis being tested may not be accurate or complete. This is because if the experiment is conducted properly, the results should either support the predictions of the hypothesis or contradict it.
Therefore, when the experimental results are inconsistent with the hypothesis, scientists must discard the initial hypothesis and develop an alternative. However, it's important to note that the more experiments that agree with a hypothesis, the more likely it is to be accepted as a useful description of nature.
Repeating the experiment multiple times increases the validity and reliability of the results. Through repetition, scientists can determine if the observed results are consistent and if the experiment can be replicated with similar outcomes.