According to the notes, what should be done with observations that lack credibility?

• A. They should be evaluated and dismissed if they lack credibility.
• B. All observations are equally credible.
• C. Observations should be ignored entirely.
• D. They should be dismissed regardless of credibility.

Answer: (C)

Observations that aren’t credible are simply ignored. This approach keeps the analysis honest by ensuring unreliable information doesn’t influence conclusions; trustworthy data points are what guide understanding, while untrustworthy ones can distort results if given any weight. In practice, it’s a data-cleaning step: filter out the non-credible observations so the analysis rests on solid evidence. Other options would require weighing credibility, treating all observations as equally credible, or discarding even credible data, which can introduce bias or unnecessary loss of information.