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6.2 Constructing 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.

One-Proportion z Confidence Interval

Conditions (PANIC acronym):

  • Parameter: Identify the parameter of interest (p{p} = true proportion of...)
  • Assumptions: Check conditions
    • Random: Sample is a random sample
    • Independence: n<10%{n < 10\%} of population
    • Normal: np^≥10{n\hat{p} \geq 10} AND n(1−p^)≥10{n(1-\hat{p}) \geq 10} (use p^{\hat{p}} not p{p}!)
  • Name the interval: One-proportion z interval
  • Interval: Compute
  • Conclusion: Interpret in context
Formula:
p^±z∗p^(1−p^)n\hat{p} \pm z^* \sqrt{\frac{\hat{p}(1-\hat{p})}{n}}

where z∗{z^*} is the critical value for the desired confidence level.

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