Answer: false
Step-by-step explanation:
When we "Fail to Reject" the Null Hypothesis, it means that we do not have enough evidence to support the alternative hypothesis. It does not mean that the Null Hypothesis is true; rather, it means that we do not have sufficient evidence to reject it in favor of the alternative hypothesis. In other words, we cannot conclude that there is a significant difference or effect based on the data, and we should not make any strong claims or assumptions about the Null Hypothesis being true or false.