Match List - I with List - II.

List-I	List- II
A.	Systematic Sampling	I.	Large and widely dispersed population
B.	Cluster Sampling.	II.	Informants
C.	Quota Sampling	III.	Simple Random Sampling
D.	Snowball Sampling.	IV.	Non-probability stratified sampling

Choose the correct answer from the options given below:

Correct option is C

(c) A - III B - I C - IV D - II
Matching the sampling methods with their characteristics:
Systematic Sampling (A - III): Simple Random Sampling
Cluster Sampling (B - I): Large and widely dispersed population
Quota Sampling (C - IV): Non-probability stratified sampling
Snowball Sampling (D - II): Informants
Information Booster:
1. Systematic Sampling: Selecting every nth individual from a list.
2. Cluster Sampling: Dividing the population into clusters and randomly sampling clusters.
3. Quota Sampling: Ensuring specific characteristics are represented in the sample.
4. Snowball Sampling: Using existing participants to recruit more participants.
5. Simple Random Sampling: Every individual has an equal chance of being selected.
6. Stratified Sampling: Dividing the population into strata and sampling from each stratum.
Additional Information:
· Systematic Sampling - Simple Random Sampling (A): Involves selecting samples based on a fixed interval.
· Cluster Sampling - Large and Widely Dispersed Population (B): Effective for geographically dispersed populations.
· Quota Sampling - Non-Probability Stratified Sampling (C): Ensures representation of specific subgroups.
· Snowball Sampling - Informants (D): Participants recruit other participants, useful for hard-to-reach populations.