Clinical or scientific knowledge in medicine and public health is largely based on evidence from samples rather than the entire population. And for statistical inference to be valid and reliable, the sample studies must be representative of the population with the outcome or issues of interest. Samples that are random and are large are more likely to be representative of the entire population, and the inferences from such samples are more likely to be reliable.