AP PSYCHOLOGY

Detailed explanation-1: -Sampling error occurs when a sample drawn from a population deviates somewhat from that true population. Large sampling errors can lead to incorrect estimates or inferences made about the population based on statistical analysis of that sample.

Detailed explanation-2: -Sampling error is important in creating estimates of the population value of a particular variable, how much these estimates can be expected to vary across samples, and the level of confidence that can be placed in the results.

Detailed explanation-3: -Convenience samples are chosen based on who is available and willing to participate in a study. Thus, the probability sample is more likely to represent the population overall and contain less sampling error.

Detailed explanation-4: -Sampling errors are caused because the sample size is small and is inadequate to capture the population behaviour accurately. It can be reduced by increasing the sample size.