Answer:
True
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.