For example, if we wish to know the proportion of a certain species of fish that is infected with a pathogen, we would generally have a more precise estimate of this proportion if we sampled and examined 200 rather than 100 fish. Larger sample sizes generally lead to increased precision when estimating unknown parameters. the larger the required confidence level, the larger the sample size (given a constant precision requirement).
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