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6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion

Part of Inference for Categorical Data: Proportions in AP® Statistics. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.

Using a CI to Assess a Claim

A confidence interval gives a range of plausible values for a parameter. We can use it to assess whether a specific value of the parameter is plausible.

Logic:

  • If the claimed value falls inside the CI → the claim is plausible (consistent with the data)
  • If the claimed value falls outside the CI → the claim is not plausible (data contradicts the claim)

Example: A company claims that 70% of its customers are satisfied. A survey of 200 customers finds p^=0.64{\hat{p} = 0.64}.

Construct a 95% CI: 0.64±1.960.64(0.36)/200=0.64±0.066=(0.574,0.706){0.64 \pm 1.96\sqrt{0.64(0.36)/200} = 0.64 \pm 0.066 = (0.574, 0.706)}

Since 0.70 is inside the interval, the company's claim of 70% satisfaction is plausible.

But 0.80 is outside the interval — a claim of 80% satisfaction would not be plausible.

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