Interquartile Range Calculator

Calculate the interquartile range (IQR) of a dataset. Enter numbers separated by commas to compute Q1, Q3, median, and IQR.

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How to use this tool?

This calculator computes the Interquartile Range (IQR) for a dataset. The IQR measures the spread of the middle 50% of your data.

  1. Enter your data in the input field as a comma-separated list of numbers (e.g., 1,2,3,4,5,6,7,8,9).
  2. Click "Calculate IQR" to process the data.
  3. Review the results:
    • Sorted Data – your numbers arranged in ascending order.
    • Count (n) – total number of values.
    • Q1 (25th percentile) – median of the lower half.
    • Median (Q2) – middle value of the dataset.
    • Q3 (75th percentile) – median of the upper half.
    • IQR = Q3 – Q1, displayed as the final result.
  4. Step-by-step explanation is shown below the results, detailing how each quartile and the IQR were calculated.

Note: The calculator requires at least two numbers. All values must be numeric; non-numeric entries will trigger an error message.

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Frequently Asked Questions

The interquartile range (IQR) is a measure of statistical dispersion, equal to the difference between the third quartile (Q3) and the first quartile (Q1). It represents the middle 50% of the data.

First, sort the data. Then find the median (Q2). The median of the lower half is Q1, and the median of the upper half is Q3. IQR = Q3 - Q1.

The IQR indicates the spread of the middle half of the data. A larger IQR suggests greater variability, while a smaller IQR indicates that the data points are closer together.

Reviewed by Experts

Eurico José Kiala

Eurico José Kiala

Mathematician

Teacher

LinkedIn
João Lino

João Lino

Mathematician

LinkedIn
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