Large sample sizes provide more accurate answers because they reduce the impact of random variability and outliers, leading to a more reliable estimate of the population parameters. A larger sample better captures the diversity within the population, increasing the likelihood that the sample mean or proportion closely approximates the true population mean or proportion. Additionally, as sample size increases, the margin of error decreases, resulting in more precise confidence intervals. Overall, larger samples enhance the statistical power of analyses, allowing for more robust conclusions.
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