AP PSYCHOLOGY

Detailed explanation-1: -Sampling bias in statistics occurs when a sample does not accurately represent the characteristics of the population from which it was drawn. When this bias occurs, sample attributes are systematically different from the actual population values. Hence, sampling bias produces a distorted view of the population.

Detailed explanation-2: -A sampling error occurs when the sample used in the study is not representative of the whole population. Sampling is an analysis performed by selecting a number of observations from a larger population.

Detailed explanation-3: -A sampling method is called biased if it systematically favors some outcomes over others. Sampling bias is sometimes called ascertainment bias (especially in biological fields) or systematic bias. Bias can be intentional, but often it is not.

Detailed explanation-4: -In order to identify whether a sample is unbiased or biased, we need to ask ourselves a question, does each member of the population have an equal chance of being selected? If the answer to this question is yes, then our sample is unbiased.

Detailed explanation-5: -Sampling bias or a biased sample in research occurs when members of the intended population are selected incorrectly – either because they have a lower or a higher chance of being selected. The most popular and easily understandable example of sampling bias is Presidential election voters.