Essay

Based on the concept of variability, define how a distribution with relatively low variability and a distribution with relatively high variability differ in terms of their scores' locations relative to their central tendency, even when both distributions share the exact same mean, median, and mode of 1010.

Question: Based on the concept of variability, define how a distribution with relatively low variability and a distribution with relatively high variability differ in terms of their scores' locations relative to their central tendency, even when both distributions share the exact same mean, median, and mode of 1010.

Sample answer: Even if two distributions share the exact same central tendency (such as a mean, median, and mode of 1010), they can differ in their variability or spread. In a distribution with relatively low variability, the individual scores are clustered closely around the center (the central tendency). In contrast, in a distribution with relatively high variability, the scores are spread out across a much greater range away from the center.

Key points:

  • Distributions can share the same central tendency (mean, median, mode of 1010) but differ in variability.
  • Low variability distributions have scores clustered close to the center.
  • High variability distributions have scores spread across a much greater range.

Rubric: The response should be evaluated based on whether the student: 1. States that distributions can share the same central tendency (mean, median, mode of 1010) but differ in variability/spread. 2. Explains that low variability means scores are clustered close to the center. 3. Explains that high variability means scores are spread across a much greater range.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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