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What do within-group variation and between-group variation mean in this clip?

Total variation in the observed scores is split into two parts: within-group variation, which is caused by differences among individuals inside the same group, and between-group variation, which is associated with differences among the groups themselves.

Conditions

  • The data are organized into multiple groups.
  • One is analyzing variation in a measured response across those groups.

Reasoning, step by step

  1. Observe the total spread of all scores in the dataset.
  2. Identify the spread of values inside each individual group (within-group variation).
  3. Identify the differences in the overall locations or centers of the groups (between-group variation).
  4. Understand that total variation is the sum of these two components.

Example

Ovals around each column illustrate within-group spread; arrows between columns illustrate between-group spread.

Common misconceptions

  • Assuming that large overall variation alone implies a treatment effect, without considering the balance between within-group and between-group variation.

Watch the explanation

0:50 – 1:10Watch this moment ↗

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.