When the distribution of characteristics in a sample is systematically different from that of the target population,the sample is called a
A) biased sample.
B) stratified sample.
C) representative sample.
D) distorted sample.

Question

Quizplus · Accepted Answer

A biased sample is one where the distribution of characteristics differs from that of the target population. This can occur when the sample is not chosen randomly, or when there are systematic differences in the characteristics of those who choose to participate in the study. A stratified sample is one in which the population is divided into subgroups or strata and a random sample is taken from each subgroup, which can help to ensure that the sample is representative. A representative sample is one that closely matches the target population in terms of key characteristics, such as age, gender, and ethnicity. Distorted sample is not a commonly used term in statistics.

When the Distribution of Characteristics in a Sample Is Systematically