How to Draw and Read a Box Plot
A box plot shows how a data set is spread out using five values: the minimum, Q1, median, Q3, and maximum. The box runs from Q1 to Q3, with a line at the median. The interquartile range (IQR) is Q3 − Q1, the middle 50%.

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What Is a Box Plot?
- A box plot shows the distribution of a data set.
- It highlights the spread and middle of the data clearly.
Creating a Box Plot
- Find the minimum, Q1, median (Q2), Q3, and maximum values.
- Draw a box from Q1 to Q3 with a line at the median.
Interpreting a Box Plot
- The interquartile range (IQR) is Q3 − Q1 and shows the middle .
- The range is maximum − minimum and shows the full spread.
Practice Questions
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Consider the following boxplot. What is the range represented by the boxplot?

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The range is the difference between the maximum value (80) and the minimum value (20): .
Consider the following boxplot. What is the interquartile range (IQR) represented by the boxplot?

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The interquartile range is the difference between Q3 and Q1. From the boxplot, and , so .
Consider the following boxplot. What is the median represented by the boxplot?

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The median is shown by the line inside the box, which corresponds to the value 50 on the scale.
In the box plot, the middle of the data lies between which two values?

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The middle of the data lies between Q1 and Q3. From the boxplot, these are 30 and 60.
What percentage of the data lies between Q1 (30) and the maximum value (80)?

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From Q1 to Q3 accounts for of the data, and from Q3 to the maximum accounts for another . Together, this makes .
Consider the following dataset: 10, 20, 35, 40, 45, 70, 80. Which of the following box plots correctly represents this dataset?
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The minimum value is 10 and the maximum is 80. The median is 40. The lower half (10, 20, 35) has a median of 20 giving . The upper half (45, 70, 80) has a median of 70 giving .
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Interactive Activity
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A box plot shows five key values from a sorted dataset: the minimum (smallest value), the lower quartile Q1, the median Q2, the upper quartile Q3, and the maximum (largest value). You read each one straight off the scaled number line beneath the box plot.
Sort your numbers from smallest to largest, then take the two middle values and find their average. For a list of 10 numbers, the median sits between the 5th and 6th values, so you add those two together and divide by 2 to get the median.
The interquartile range is the difference between the upper quartile Q3 and the lower quartile Q1, so IQR = Q3 − Q1. First split your sorted data into a lower half and an upper half, find the median of each half, then subtract Q1 from Q3 to get the IQR.
The range is the gap between the maximum and minimum value, so it covers the full spread of the data. The interquartile range only covers the middle 50%, calculated as Q3 minus Q1. The range uses the two ends; the IQR uses the two quartiles.
A larger interquartile range means the middle 50% of the data is more spread out, suggesting less consistency in the values. A smaller IQR means the middle half is tightly clustered, so the dataset is more consistent and the typical values stay closer together.