A stem and leaf plot shows the shape of a small numerical data set without hiding the original values. Each number is split into a stem and a leaf, so you can see the distribution and read off every exact value at the same time.

The Split And Its Notation

In a basic plot, the stem is the tens digit and the leaf is the ones digit, so 2727 becomes 272|7. A key is essential because the split depends on context: if the key says 27=272|7 = 27, the reader knows the stem represents tens and the leaf represents ones.

The stems go down the left side in order, and the leaves go to the right of each stem, usually written in ascending order:

Stem | Leaves
1    | 2 4 5 8
2    | 1 1 3 7
3    | 2

Key: 23=232|3 = 23

This plot represents the data set 12,14,15,18,21,21,23,27,3212, 14, 15, 18, 21, 21, 23, 27, 32.

Why It Keeps The Numbers Exact

Unlike a histogram, a stem and leaf plot does not bin values into ranges that erase the originals. Because each leaf is a literal digit, you can rebuild the full data list directly from the plot. That is why it is trusted for small sets: the picture of the distribution and the raw numbers are the same object, so nothing is lost between them.

Worked Example: Build The Plot Step By Step

Suppose the data set is

12, 14, 15, 18, 21, 21, 23, 27, 3212,\ 14,\ 15,\ 18,\ 21,\ 21,\ 23,\ 27,\ 32
  1. Sort the data.
  2. Use the tens digits as stems: 11, 22, and 33.
  3. Write each ones digit as a leaf beside its stem.
  4. Keep the leaves in ascending order.

The finished plot is

Stem | Leaves
1    | 2 4 5 8
2    | 1 1 3 7
3    | 2

Now the pattern is easy to read. Most values are in the teens and twenties, 2121 appears twice, and there is only one value in the thirties. You can also rebuild the original list immediately, which a histogram cannot offer.

Practice: Make Your Own And Verify

Take this list of quiz scores:

33, 41, 41, 45, 52, 58, 6033,\ 41,\ 41,\ 45,\ 52,\ 58,\ 60

Sort it, use the tens digits as stems, and place each ones digit as a leaf in ascending order. Check your plot against this:

Stem | Leaves
3    | 3
4    | 1 1 5
5    | 2 8
6    | 0

Key: 41=414|1 = 41

If you can read all seven original values back out of your plot, you built it correctly. Then describe the center, spread, and any repeated value before computing anything else.

Calculation Pitfalls

The most damaging error is skipping the key. Without it, 232|3 could mean 2323, 2.32.3, or 230230 depending on the scale.

A second is leaving the leaves unsorted, which makes the plot much harder to read.

A third is choosing inconsistent stems. If one stem represents tens, every stem should represent tens. For decimal data, a stem and leaf plot can still work, but the split rule must be stated clearly.

When To Use A Stem And Leaf Plot

A stem and leaf plot works best when the data is numerical, the list is short enough to write out, and you want to preserve individual values while still seeing the overall pattern. It helps you spot clusters, gaps, repeated values, and possible outliers.

For a large data set, other displays are easier to scan. But for quiz scores, classroom statistics, or short measurement lists, a stem and leaf plot is often the clearest first view.

Frequently Asked Questions

What is a stem and leaf plot?
A stem and leaf plot displays a small numerical data set by splitting each number into a stem and a leaf, typically the tens digit and the ones digit. It shows the shape of the distribution while keeping every original value visible, so 27 would appear as stem 2 with leaf 7.
How do you make a stem and leaf plot?
Sort the data first, use the tens digits as stems listed down the left side in order, then write each ones digit as a leaf beside its stem in ascending order. Always include a key, such as stem 2 leaf 3 means 23, so readers know the scale.
Why is the key essential in a stem and leaf plot?
The stem-leaf split depends on context, so without a key the same entry could mean different values. For example, stem 2 with leaf 3 could represent 23, 2.3, or 230 depending on the scale. The key tells the reader exactly how to reconstruct each number.
When should you use a stem and leaf plot instead of a histogram?
Use a stem and leaf plot when the data set is small and you want a quick picture of spread while keeping the original numbers visible. Unlike a histogram, you can rebuild the exact data list from the plot, which makes clusters, gaps, repeated values, and possible outliers easy to verify.

Need help with a problem?

Upload your question and get a verified, step-by-step solution in seconds.

Open GPAI Solver →