The standard error of the proportion is a measure that quantifies the variability of a sample proportion as an estimate of the true population proportion. It provides insight into how much the sample proportion is expected to fluctuate from sample to sample, allowing researchers to assess the reliability of their estimates. The standard error is calculated using the formula: $$SE = \sqrt{\frac{p(1-p)}{n}}$$, where 'p' is the sample proportion and 'n' is the sample size.
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