This type of sampling method depends entirely on the discretion or judgement of the sampler
Options
ASystematic Sampling
BSimple Random Sampling
CPurposive Sampling
DQuota Sampling
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Statistical Representation of DataPYQ Jan 26Question 4230 of 295
All Questions Correct Answer
✅ Option c — Purposive Sampling
All Options:
- ASystematic Sampling
- BSimple Random Sampling
- CPurposive Sampling
- DQuota Sampling
Detailed Solution & Explanation
Let us examine the definitions of the given sampling methods:
- **Systematic Sampling:** A probability sampling method where elements are selected from an ordered list at regular intervals.
- **Simple Random Sampling:** A probability sampling method where every member of the population has an equal chance of selection.
- **Purposive Sampling:** Also known as judgment sampling, this is a non-probability sampling method where the sampler selects elements based on their own discretion, judgment, or purpose.
- **Quota Sampling:** A non-probability sampling method where the selection is made to meet a pre-set quota, but not purely on the personal judgment of the sampler.
Thus, the method that depends entirely on the discretion or judgment of the sampler is **Purposive Sampling**.
Hence, **Option C** is the correct answer.
- **Systematic Sampling:** A probability sampling method where elements are selected from an ordered list at regular intervals.
- **Simple Random Sampling:** A probability sampling method where every member of the population has an equal chance of selection.
- **Purposive Sampling:** Also known as judgment sampling, this is a non-probability sampling method where the sampler selects elements based on their own discretion, judgment, or purpose.
- **Quota Sampling:** A non-probability sampling method where the selection is made to meet a pre-set quota, but not purely on the personal judgment of the sampler.
Thus, the method that depends entirely on the discretion or judgment of the sampler is **Purposive Sampling**.
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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