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Why can't this problem rely only on the mean to select the graph, but also needs to look at the standard deviation?

Relying only on the mean is insufficient because all five option graphs roughly satisfy the condition that School A is on the left and School B is on the right. To distinguish the correct graph, one must also use the standard deviation to compare the width and height of the curves, as the standard deviation determines the shape and dispersion of the normal distribution.

Conditions

  • The score distributions of both schools are close to normal distributions.
  • The problem provides five different normal curve options.

Reasoning, step by step

  1. Observe the horizontal positions of the curves in all five options.
  2. Note that all options place School A's curve to the left of School B's curve.
  3. Realize that the mean alone cannot eliminate any of the options.
  4. Recall that the standard deviation determines the width and height of the normal curve.
  5. Use the standard deviations (10 for School A, 5 for School B) to compare the shapes of the curves.
  6. Eliminate options that do not match the expected width and height differences.

Example

The video states: 'The speaker points out that all five graphs roughly satisfy A on the left and B on the right, so one needs to switch to using standard deviation for discrimination.'

Common misconceptions

  • Thinking that the mean is the only parameter that affects the normal distribution graph.
  • Assuming that a larger standard deviation results in a taller and narrower curve.

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