Simple random sampling, systematic sampling, stratified sampling and cluster sampling are all examples of :
A) Inadequate sampling methods.
B) Non-probability sampling methods.
C) Probability sampling methods.
D) Superior sampling methods.

Question

Quizplus · Accepted Answer

Simple random sampling, systematic sampling, stratified sampling and cluster sampling are all examples of probability sampling methods, which means that each member of the population has a known and non-zero probability of being selected for the sample. This allows for the calculation of sampling error, which is an important aspect of inferential statistics. Non-probability sampling methods, on the other hand, do not have this property and are therefore less desirable for most research purposes.

Simple Random Sampling, Systematic Sampling, Stratified Sampling and Cluster Sampling