Match List-I with List-II
List-I (Types of Probability Sampling) List-II (Characteristic) (A) Simple random sampling (I) Every member of the population is arranged in a particular order. The first member is selected at random and then the remaining members are selected at regular intervals. (B) Systematic sampling (II) The population is divided into subgroups and each subgroup has similar characteristics of the whole population. (C) Stratified sampling (III) Every member of the population has an equal chance of being selected. (D) Cluster Sampling (IV) The population is divided into subgroups based on the relevant characteristics
Choose the correct answer from the options given below:
Match List-I with List-II
| List-I (Types of Probability Sampling) | List-II (Characteristic) |
|---|---|
| (A) Simple random sampling | (I) Every member of the population is arranged in a particular order. The first member is selected at random and then the remaining members are selected at regular intervals. |
| (B) Systematic sampling | (II) The population is divided into subgroups and each subgroup has similar characteristics of the whole population. |
| (C) Stratified sampling | (III) Every member of the population has an equal chance of being selected. |
| (D) Cluster Sampling | (IV) The population is divided into subgroups based on the relevant characteristics |
Choose the correct answer from the options given below:
Solution
✅ Correct Option: 3
Simple random sampling gives every member an equal chance. Systematic sampling picks members at regular intervals after a random start. Stratified sampling forms strata on relevant characteristics. Cluster sampling forms groups that each mirror the whole population.
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2025: 19 May Shift 1