Correct option is B
Introduction
Stratified sampling is a probability sampling technique in which the population is first divided into homogeneous subgroups (strata) based on common characteristics, and then a random sample is drawn from each stratum.
Information Booster
(B) Dividing the population into homogeneous groups and selecting randomly from each group ✔ (Correct Answer)
Steps in stratified sampling:
- Divide the population into homogeneous strata (e.g., age, gender, income, region).
- Select samples randomly from each stratum.
- The sample may be proportionate or equal depending on the study design.
This ensures that every subgroup is adequately represented.
✔ Correct Answer
Why the other options are incorrect?
(A) ✘
- Describes Simple Random Sampling (SRS).
- No stratification is involved.
(C) ✘
- Strata are not random groups; they are homogeneous groups based on known characteristics.
- Hence, this statement is incorrect.
(D) ✘
- Also describes Simple Random Sampling, where each unit is assigned a number and selected randomly.
Additional Knowledge
Types of Probability Sampling
Sampling Method | Description |
|---|---|
Simple Random Sampling | Every unit has an equal chance of selection |
Stratified Sampling | Population divided into homogeneous strata; random sampling from each stratum |
Systematic Sampling | Every kth unit is selected after a random start |
Cluster Sampling | Population divided into clusters; selected clusters are surveyed |
Multistage Sampling | Sampling carried out in successive stages |