Which of the following defines sampling error?
A)It is the idea that a study's results will tell us something about a group larger than the sample from which the findings were generated.
B)It is the principle that all elements in a researcher's target population have an equal chance of being selected for inclusion in the study.
C)It is the extent to which a sample represents its population on a particular parameter.
D)It is the actual characteristics of a population on any given variable; determined by measuring all elements in a population.
E)It is the list of all elements in a population.

Question

Quizplus · Accepted Answer

Sampling error refers to the degree to which a sample represents its population on a particular parameter. It is the difference between the sample estimate and the true population parameter. It is important to minimize sampling error to increase the generalizability of the research findings to the larger population. Option A refers to generalizability, not sampling error. Option B refers to random sampling, which is a technique to reduce sampling error. Option D refers to population characteristics. Option E refers to a population list or roster.

Which of the Following Defines Sampling Error