Distribution
Notched box plot
Adds notches to approximate uncertainty around the median.
- Plot
- Distribution
- Uncertainty
What it answers
How uncertain is the estimated median?
- Shape
- Box indented around its median
- What it shows
- Approximate median uncertainty.
Example
The question
Is the median delivery time really different between two carriers?
Days to deliver by carrier, with notches around the median (illustrative)
Illustrative data. It belongs to no company.
When to use it
Use it when
Exploratory comparison of medians with adequate data.
Avoid it when
Small samples or interpreting notch overlap as a universal significance test.
How to read it
Read the median line and notch extent, with the calculation explained.
Note
Notch calculations differ across implementations.
The data you need
- Layout
- Long table
- Fields
- Group: text; Value: number
- One row is
- One raw observation belonging to a group. What is the grain?
- Rules
- Retain individual observations and group labels. State weighting and missing-data rules.
- Optional
- For box plots only, some tools accept Group,Q1,Median,Q3,WhiskerLow,WhiskerHigh plus separate outliers. Other distributions usually need raw data.
- Preparation
- Keep raw numeric observations, group them if needed and handle missingness explicitly. Choose bins, bandwidth or summary conventions as appropriate to this specific plot.
- Units
- The measurement axis retains its original unit. Frequency uses observations; normalised frequency divides by group sample size; density also depends on interval width.
Worked example
Suppose precomputed median 10, notch 9-11, Q1=8, Q3=13. Draw these supplied summaries. The notch describes estimated median uncertainty.
| Group | Value |
|---|---|
| A | 10 |
| A | 12 |
| A | 18 |
| B | 11 |
| B | 23 |
