EQN-05-10

Spread, Range & Outliers

Measure how spread out data are, and predict how an outlier shifts the mean, median, and range.

~5 min readDifficulty 2/5

Range — the simplest spread

It uses only the two extremes, so a single unusual value can blow it up.

What an outlier does

An outlier is a value far from the rest. Its effect:

  • Range: changes a lot (extremes define it).
  • Mean: pulled toward the outlier.
  • Median: barely moves (it ignores how far, only position).
  • Mode: unaffected unless the outlier repeats.

Mean vs median for skewed data

If a data set has one very large value, expect mean median. If one very small value, mean median. The median is the "resistant" average.

Comparing two data sets

Two sets can share a mean but differ in spread. The one with values clustered tightly has a smaller range; the one with extremes has a larger range.

Diagram
ordered values 4 6 7 9 40

An outlier (40) stretches the range and pulls the mean upward.

Worked examples

Example 1 (difficulty 2/5)
A data set is 4, 6, 7, 9, 40. Which statistic is affected MOST by the value 40?

Predict the answer first:

Example 2 (difficulty 1/5)
What is the range of 12, 5, 20, 8, 15 ?

Predict the answer first:

Tips

  • Range max min — driven entirely by the extremes.
  • The mean follows an outlier; the median resists it.
  • Equal means can hide very different spreads — check the range too.

Common mistakes

Thinking an outlier shifts the median as much as the mean
Why: Both are "averages".
Fix: The median depends on position, not distance, so it barely moves.
Reporting the largest value as the range
Why: "Range" sounds like the top of the data.
Fix: Range is max min, a single difference.
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