Interquartile range: what it means and how to read it

In the report: iqr — q3 − q1.

How to read it

The width of the middle half of the answers — a spread that ignores extreme values. A common rule marks values more than 1.5 · iqr beyond the quartiles as outliers.

In plain words

A teacher wanted to know how spread out the usual marks of her class were, without a few odd marks spoiling the answer. A quarter of the class got less than 55, q1, and a quarter got more than 85, q3. The iqr came out 30: the middle half of the marks fit into a stretch of 30 points. If the lowest student had got 5 instead of 40, this number would not change at all. A common rule calls a mark odd when it lies more than 45 points past the edges of the middle half, so under 10 or over 130. Now she knows which marks to look at twice.

How it is computed

iqr = q3 − q1

Example

The cell with iqr is selected in each report; point at a label to see its note.

  • — the sample data (50 rows) the examples use
  • — Quartiles and percentiles as in SPSS =STATS_DESCRIPTIVE(Data!A1:T51, "q1,median,q3,iqr,percentile.12.5", "x,x1")

Where you see it

Get it in your sheet

One formula in a cell gives the whole report, Interquartile range included. ALS Stats is a free add-on for Google Sheets™.

Install ALS Stats from Google Workspace Marketplace (opens in a new tab)