Sample sizes refer to the number of individuals or observations included in a sample taken from a larger population. It determines how representative and accurate a sample is likely to be.
Related terms
Margin of Error: A range within which it is likely that the true population parameter falls based on sampling variability.
Power: The probability that a statistical test will correctly reject a false null hypothesis.
Random Sampling: The process of selecting individuals from a larger population such that each individual has an equal chance of being chosen.