Interquartile Range Calculator
Calculate the difference between Q3 and Q1 of a dataset.
Description
Calculate Q3 minus Q1 with the inclusive median-of-halves quartile method.
Interquartile Range Calculator is a focused tool for the following task. Calculate Q3 minus Q1 with the inclusive median-of-halves quartile method. It reports Interquartile range from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Interquartile Range
Use this calculation to reproduce a defined quantitative method when the observations, units, sampling process, and assumptions match the method shown here.
- Values
- Required list.
The cited overview of Interquartile range supplies background for the terminology and domain context used by this tool.1
How Interquartile Range works
Calculate Q3 minus Q1 with the inclusive median-of-halves quartile method. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Interquartile range
- Returned number.
Limitations and assumptions
- A numerical result does not by itself establish data quality, causation, representativeness, independence, distributional fit, or practical significance.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
Inspect the underlying data, visualize its distribution, report uncertainty and sample size, and compare the result with a robust or domain-specific method where appropriate.
References
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Interquartile range — Wikipedia contributors
Similar or alternative tools
- Quartile Deviation Calculator
Calculate the semi-interquartile range, half the distance between the inclusive third and first quartiles.
- Quartiles Calculator
Calculate Q1, the median (Q2), and Q3 with the inclusive median-of-halves method.
- Inclusive Quartiles Calculator
Calculate Q1, Q2, and Q3 by including the median in both halves of an odd-sized dataset.