An outlier in statistics is like the odd one out in a group—it's a value that's noticeably different from the others.
How to explain
For instance, when checking package weights, an outlier would be a weight that's way lighter or heavier compared to most other package weights.
Imagine a bunch of similar-sized packages, and suddenly there's one that's significantly bigger or smaller—that's the outlier. Statistical methods, like the IQR (Interquartile Range) technique, help us spot these outliers by highlighting these unusual values that don't quite fit in with the rest of the data.