Final answer:
Trustworthy data in a scientific context is data that can be verified by compelling evidence and undergoes repeated observation. Data that does not support a hypothesis is still useful for refining inquiry, and experimentation, while crucial, is not the sole type of valid scientific investigation.
Step-by-step explanation:
The question "Tier 1 > Trustworthy data" relates to the concept of what constitutes reliable and trustworthy data. In the context of science education, trustworthy data generally refers to information that can be verified by compelling evidence. This means that for data to be considered trustworthy, it needs to have support from verifiable evidence that confirms its accuracy. For example, if an authority claims something is true, it might be considered reliable; however, this is not enough on its own.
The data should still be tested and observed multiple times. Similarly, data from experiments also need to be consistent and repeatable. It is important to note that data not supporting a hypothesis can still be useful, as it helps refine scientific inquiry. Additionally, while experimentation is a critical aspect of scientific investigation, it is not the only valid type. Finally, when evaluating statements or claims, it is essential to consider the evidence, methodology, and source credibility, as not all information found on trusted websites may be factual or applicable in a scientific context.