This question evaluates a candidate's competency in hypothesis testing for proportions, specifically computing the standard error, a 95% confidence interval, and interpreting whether an observed conversion rate statistically exceeds a benchmark.

You ran a billboard campaign and measured conversions on a sample of N = 100 users. The observed conversion rate is 65% (p̂ = 0.65). You want to test whether the true conversion rate exceeds 60%.
Hint: Use SE = sqrt(p̂(1−p̂)/N); margin = 1.96 × SE; compare the CI’s lower bound with 0.60.
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