In which of the following sampling methods are the individuals of a population subdivided into mutually exclusive and collectively exhaustive separate subpopulations with a common characteristic?
A)cluster sampling
B)simple random sampling
C)stratified sampling
D)systematic sampling

Question

Quizplus · Accepted Answer

Stratified sampling involves subdividing a population into mutually exclusive and collectively exhaustive subpopulations based on a common characteristic. This ensures that the sample is representative of the population as a whole and allows for more precise estimates of population parameters. Cluster sampling involves randomly selecting groups or clusters within a population, rather than individuals, and can be more efficient when the clusters are homogenous. Simple random sampling involves selecting individuals from a population at random, without any subdivisions based on common characteristics. Systematic sampling involves selecting individuals at regular intervals, which may introduce sampling bias if there is a pattern or periodicity in the population. Therefore, stratified sampling is the best choice for subdividing a population into mutually exclusive and collectively exhaustive separate subpopulations with a common characteristic.

In Which of the Following Sampling Methods Are the Individuals