The final agreed-to sample size is a trade-off between acceptable error and research cost.

True

Step-by-step explanation:

Sample size selection is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is important in any empirical statistical study in which the goal is to make inferences about a population from a sample. The actual sample size used in a study is determined based on the time money and technical cost of data collection, and the need to have sufficient statistical accuracy.

Finding a balance between acceptable error and research cost gives rise to concepts like Confidence Interval and Margin of Error.

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