Random sampling reduces the likelihood that the responses obtained from the sample would be the same as those obtained from the universe if everyone were questioned.

Question

Quizplus · Accepted Answer

Random sampling aims to reduce bias and ensure that every individual in the population has an equal chance of being selected, thereby increasing the likelihood that the sample's responses will accurately reflect those of the entire population.

Random Sampling Reduces the Likelihood That the Responses Obtained from the Sample