Question
Download Solution PDFMatch 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:
Answer (Detailed Solution Below)
Option 2 : A - II, B - IV, C - I, D - III
Detailed Solution
Download Solution PDFThe 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.
- Cluster Sampling