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Explain how the presence of a single extreme score affects the calculation of the range and why this makes the range a potentially misleading measure of variability in a distribution.

Question: Explain how the presence of a single extreme score affects the calculation of the range and why this makes the range a potentially misleading measure of variability in a distribution.

Sample answer: The range is calculated by subtracting the lowest score from the highest score. When a single extreme score (an outlier) is present, it will serve as either the new maximum or minimum value. This drastically increases the resulting range, creating a false impression of high variability in the overall distribution, even though most of the scores remain clustered closely together.

Key points:

  • The range is calculated using only the highest and lowest scores.
  • A single extreme score (outlier) drastically increases the calculated range.
  • A large range due to an outlier can falsely suggest high variability in the distribution.
  • Most scores in the distribution may actually be clustered closely together.

Rubric: Answers must correctly state how the range is calculated, explain that a single outlier dramatically increases this value, and describe how this creates a false impression of high variability when the rest of the distribution is clustered.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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