Why must sample size be considered in estimationSolutionLarg

Why must sample size be considered in estimation?

Solution

Larger sample sizes generally lead to increased precision when estimating unknown parameters. 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. Several fundamental facts of mathematical statistics describe this phenomenon, including the law of large numbers and the central limit theorem.

Why must sample size be considered in estimation?SolutionLarger sample sizes generally lead to increased precision when estimating unknown parameters. For examp

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