To get the answer, let us define all the terms in the options.
1) Stratified Sample: This involves dividing the population into subpopulations that may differ in important ways, allowing the researcher to draw more precise conclusions by ensuring that every subgroup is properly represented in the sample.
2) Cluster Sample: This involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. The researcher picks entire subgroups instead of individuals.
3) Convenience Sample: This simply includes the individuals who happen to be most accessible to the researcher.
4) Random Sample: In this sampling method, every member of the population has an equal chance of being selected. The sampling frame includes the entire population.
ANALYSIS:
In the four sample collection methods, only the random sampling method provides an opportunity for every member of the population to get selected. Hence, this should be the answer.
ANSWER:
The correct option is the