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What adjustment does the 'plus four' method make to a proportion confidence interval, and why is it applied?

AIt multiplies the sample size by four for extra precision
BIt adds two successes and two failures to correct estimation error
CIt subtracts four observations to remove outliers
DIt always adds four percentage points to the final interval
Answer & Solution
Correct answer: B. It adds two successes and two failures to correct estimation error
1. Estimating the standard deviation of a proportion from p' and q' alone can introduce error, especially with small samples. 2. The plus-four adjustment imagines four extra trials, two additional successes and two additional failures. 3. This changes the working sample size to n+4 and the working success count to x+2 before the usual formula is applied. 4. Options C and D invent operations, subtracting observations or adding fixed percentage points, that this method never performs. _Source: OpenStax Introductory Statistics (CC BY 4.0), Ch 8 "Confidence Intervals", section 8.3 A Population Proportion_
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