Math

Free Quartiles & IQR Calculator

Q1, median, Q3 and interquartile range with outlier bounds.

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Inputs

Result

Interquartile range (IQR)

29.500

Q1 (25th percentile)11.000
Median (Q2)37.500
Q3 (75th percentile)40.500
Lower outlier bound-33.250
Upper outlier bound84.750

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Short answer

Q1, median, Q3 and interquartile range with outlier bounds.

What is the Quartiles & IQR Calculator?

Q1, median, Q3 and interquartile range with outlier bounds.

How does the Quartiles & IQR Calculator work?

Enter the inputs above and read the result.

Formula

IQR = Q3 − Q1

Variables

  • Q1, Q3Medians of lower and upper halves

Explanation

Outliers are commonly flagged as values beyond 1.5×IQR below Q1 or above Q3.

Examples

Applications

    Advantages

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          Tips

            Related concepts

            The Quartiles & IQR Calculator sits inside the Math Calculators hub, in the statistics & probability cluster. Describing data and quantifying uncertainty. Understanding the terms below makes the output easier to interpret and easier to compare against neighbouring measures.

            distributiondispersionsignificancesamplepopulationexpected value

            Practical use cases and industry applications

            Understanding Quartiles & IQR

            Q1, median, Q3 and interquartile range with outlier bounds. Within math calculators, quartiles & iqr belongs to the statistics & probability cluster, where it shares terminology and assumptions with closely related tools.

            Learning how quartiles & iqr is calculated

            Outliers are commonly flagged as values beyond 1.5×IQR below Q1 or above Q3. Working through the variables one at a time — Q1, Q3 — makes the result reproducible by hand and easier to sanity-check.

            Using quartiles & iqr to make a decision

            Because outputs depend on the assumptions you enter, run more than one scenario before committing to a figure.

            How quartiles & iqr compares with related measures

            distribution, dispersion, significance, sample all describe adjacent aspects of statistics & probability. Comparing this calculator's output against those measures — using the related tools listed on this page — prevents a single metric from being read in isolation.

            Frequently asked questions

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