Following from this question on the difference between confidence intervals and hypothesis testing, I would love to have a simple example to better understand the the relationship between confidence intervals and p-values.
For example, if I have $r=.8768 (n=300)$, then it is significant at $0.05$.
The confidence interval is (lower) $0.847729 < (r) 0.8768 < 0.900619$ (higher).
This is against 0 (i.e. no relationship).
- How does it rate with the confidence level testing?
- What do I look for?