5 Number Summary Calculator

Find min, Q1, median, Q3 and max of a data set.

Minimum 4
Q1 8
Median 15
Q3 16
Maximum 23

Formula: quartiles via linear interpolation of the sorted data

Step-by-step with your numbers:
1. Values used:
2. Value 1 = 4
3. Value 2 = 8
4. Value 3 = 15
5. Value 4 = 16
6. Value 5 = 23
7.
8. Minimum = 4
9. Q1 = 8
10. Median = 15
11. Q3 = 16
12. Maximum = 23
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The five-number summary describes a data set's spread (used for box plots).

How the Math Works

The 5 Number Summary Calculator determines five essential statistics from your dataset: the minimum value, the first quartile (Q1), the median, the third quartile (Q3), and the maximum value. These values are calculated by first sorting the data in ascending order. The minimum and maximum are simply the smallest and largest values. The median is the middle value (or average of two middle values if the dataset has an even number of points). For Q1 and Q3, the calculator uses linear interpolation on the sorted data, positioning Q1 at the 25th percentile and Q3 at the 75th percentile, which provides a more accurate representation of the data distribution compared to simple percentile methods.

Practical Applications

To use this calculator, simply input your dataset as a comma-separated list of numbers. The calculator will automatically sort your data and compute all five summary statistics. This is particularly useful for exploratory data analysis, allowing you to quickly understand the central tendency, spread, and range of your data. The results help identify potential outliers and provide a concise numerical summary that can be used for further statistical analysis, hypothesis testing, or data visualization preparation.

Day-to-Day Use

In everyday life, the 5 Number Summary helps you make sense of numerical information quickly and effectively. Whether you're analyzing household expense data to understand spending patterns, evaluating sports performance statistics, or comparing test scores, these five numbers give you a clear picture of your data's distribution. The summary reveals not just average performance but also consistency and variability, helping you identify what's typical versus extreme in any dataset you encounter, from utility bills to fitness metrics.

Worked example

4,8,15,16,23 → min 4, Q1 8, median 15, Q3 16, max 23.

FAQ

Use?

It's the basis of box-and-whisker plots.