Sampling method which belongs to the category of Mixed sampling is
Options
ASystematic Sampling
BSimple Random Sampling
CStratified Sampling
DMulti-stage Sampling
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Statistical Representation of DataPYQ Sept 25Question 4160 of 295
All Questions Correct Answer
✅ Option a — Systematic Sampling
All Options:
- ASystematic Sampling
- BSimple Random Sampling
- CStratified Sampling
- DMulti-stage Sampling
Detailed Solution & Explanation
Sampling methods can be broadly categorized into probability sampling, non-probability sampling, and mixed sampling.
1. **Mixed Sampling**: A sampling method is called mixed sampling if it combines elements of both random (probability) sampling and non-random (judgment/systematic) sampling.
2. **Systematic Sampling**: In systematic sampling, the first unit of the sample is selected at random from the first units, and then every -th unit thereafter is selected automatically. Because the first step is random but the subsequent steps are fixed and non-random, systematic sampling is categorized as a mixed sampling method.
3. **Other options**: Simple random sampling, stratified sampling, and multi-stage sampling are pure probability sampling methods.
Therefore, systematic sampling is a mixed sampling method.
Hence, **Option A** is the correct answer.
1. **Mixed Sampling**: A sampling method is called mixed sampling if it combines elements of both random (probability) sampling and non-random (judgment/systematic) sampling.
2. **Systematic Sampling**: In systematic sampling, the first unit of the sample is selected at random from the first units, and then every -th unit thereafter is selected automatically. Because the first step is random but the subsequent steps are fixed and non-random, systematic sampling is categorized as a mixed sampling method.
3. **Other options**: Simple random sampling, stratified sampling, and multi-stage sampling are pure probability sampling methods.
Therefore, systematic sampling is a mixed sampling method.
Hence, **Option A** 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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