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This lab explores how random samples can be used to estimate population proportions and the variability of those estimates. Using simulated data from a 2019 Gallup report on global attitudes toward science, the analysis demonstrates how sample size and repeated sampling affect the shape, spread, and center of the sampling distribution. Concepts like unbiased estimators and standard error are visualized through simulated proportions of people who believe science benefits or does not benefit them.