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6.9 Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions

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 Two-Proportion CI to Make Claims

Key question: Does the confidence interval provide convincing evidence of a difference?

Principle: If 0 is NOT in the confidence interval for p1−p2{p_1 - p_2}, we have convincing evidence that p1≠p2{p_1 \neq p_2}.

If CI contains only positive values: Evidence that p1>p2{p_1 > p_2} If CI contains only negative values: Evidence that p1<p2{p_1 < p_2} If CI contains 0: No convincing evidence of a difference

Example: A 95% CI for p1−p2{p_1 - p_2} = (0.04,0.18){(0.04, 0.18)}

Since the interval does not contain 0, we have convincing evidence at the α=0.05{\alpha = 0.05} level that Group 1 has a higher proportion than Group 2.

The entire interval is positive, meaning Group 1's proportion is plausibly 4 to 18 percentage points higher.

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