Interpreting error bars involves understanding what they represent and the context in which they are used:
If error bars overlap between two groups, it suggests that there is no significant difference between the groups. If error bars do not overlap, it may indicate a statistically significant difference, although formal statistical tests are required to confirm this. The length of the error bars gives an indication of the precision of the measurement; shorter bars imply higher precision.
