Match the List I with List II:

List I		List II
A.	Cluster Sampling	I.	Representative sample selected when a population is a heterogenous group
B.	Sequential Sampling	II.	grouping the selected population and choosing the groups
C.	Stratified Sampling	III.	choosing the sample based on judgement
D.	Quota Sampling	IV.	no advance ascertainment of the final sample size

Choose the correct answer from the options given below:

The correct answer is - Option 2: A - II, B - IV, C - I, D - III

Key Points

• Cluster Sampling
  • Involves grouping the selected population and choosing the groups.
  • Useful when the population is large and spread over a wide area.
• Sequential Sampling
  • Characterized by no advance ascertainment of the final sample size.
  • Samples are evaluated sequentially, and sampling continues until sufficient data is gathered.
• Stratified Sampling
  • Involves selecting a representative sample when a population is a heterogeneous group.
  • Ensures that different sub-groups are adequately represented.
• Quota Sampling
  • Involves choosing the sample based on judgement to meet a predefined quota.
  • Often used in market research to ensure certain characteristics are represented.

Additional Information

• Sampling Techniques Overview
  • Cluster Sampling
    • Used when it is difficult to conduct random sampling due to geographic constraints.
    • Groups or clusters are selected, and all members of the chosen clusters are included in the sample.
  • Sequential Sampling
    • Effective in quality control processes where items are tested sequentially.
    • Sampling continues until a stopping rule is met, such as reaching a certain number of defective items.
  • Stratified Sampling
    • Ensures that specific subgroups within a population are represented proportionally.
    • Useful in surveys where different segments of the population may have different characteristics.
  • Quota Sampling
    • Non-probability sampling method where the researcher selects samples based on specific quotas.
    • Quotas are often based on demographic characteristics such as age, gender, or income.