Statistical Representation of DataPYQ Jan 26Question 4526 of 295
All Questions ACluster Sampling
BQuota Sampling
CStratified Sampling
DSystematic Sampling
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Correct Answer
✅ Option c — Stratified Sampling
All Options:
- ACluster Sampling
- BQuota Sampling
- CStratified Sampling
- DSystematic Sampling
Detailed Solution & Explanation
In statistics, the sampling method described works as follows:
- The population (the city) is divided into homogeneous, non-overlapping groups called strata (the 5 regions), where the variation within each group is minimal and variation between the groups is maximized.
- A random sample of fixed size ( households) is then drawn from each stratum.
This method is known as **Stratified Sampling**.
Let us briefly review the other options to confirm:
- **Cluster Sampling:** The population is divided into clusters, and entire clusters are randomly selected.
- **Quota Sampling:** A non-probability sampling method where samples are collected based on pre-defined quotas.
- **Systematic Sampling:** Elements are selected from an ordered population at a regular interval (e.g., every element).
Hence, **Option C** is the correct answer.
- The population (the city) is divided into homogeneous, non-overlapping groups called strata (the 5 regions), where the variation within each group is minimal and variation between the groups is maximized.
- A random sample of fixed size ( households) is then drawn from each stratum.
This method is known as **Stratified Sampling**.
Let us briefly review the other options to confirm:
- **Cluster Sampling:** The population is divided into clusters, and entire clusters are randomly selected.
- **Quota Sampling:** A non-probability sampling method where samples are collected based on pre-defined quotas.
- **Systematic Sampling:** Elements are selected from an ordered population at a regular interval (e.g., every element).
Hence, **Option C** is the correct answer.
About This Chapter: Statistical Representation of Data
Paper
Paper 3: Quantitative Aptitude
Weightage
2-4 Marks
Key Topics
Data, Frequency Distribution, Graphical Representation
This chapter covers Data, Frequency Distribution, Graphical Representation and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.
View Official ICAI SyllabusExam Strategy Tip
This topic carries 2-4 Marks weightage. Focus on understanding core concepts rather than memorizing.
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