Match the List I with List II

LIST-I (Type of Sampling)		LIST-II (Meaning)
A.	Stratified Sampling	I.	Select every 1st item on a list
B.	Probability Sampling	II.	Population is divided into several sub-populations that are individually more homogeneous
C.	Systematic Sampling	III.	Every item of the universe has an equal chance of inclusion in the sample
D.	Non-probability Sampling	IV.	Procedure which does not afford any basis for estimating the probability that each item in the population has a chance of being included in the sample

Correct option is C

• Stratified Sampling (A) involves dividing the population into several sub-populations that are more homogeneous within themselves, ensuring that each subgroup is properly represented. This corresponds to II.
• Probability Sampling (B) involves selecting samples in a way that every individual has an equal chance of being included in the sample. This corresponds to III.
• Systematic Sampling (C) involves selecting every 1st item on a list or using a regular interval to select the sample, starting from a randomly selected point. This corresponds to I.
• Non-probability Sampling (D) is a sampling procedure where the probability of selecting each item is not known, making it difficult to estimate the chances of inclusion. This corresponds to IV.

Information Booster:

1. Stratified Sampling ensures a more precise representation of the population by dividing it into strata.
2. Probability Sampling methods, such as simple random sampling, ensure that the sample is representative of the population with minimal bias.
3. Systematic Sampling is a practical method, especially in large populations, but requires that the list of individuals has no periodic or systematic pattern.
4. Non-probability Sampling is useful in qualitative research, but does not provide the same level of reliability for generalization to the population as probability sampling methods.