Which of the following sampling methods is completely free from sampler's biases
Options
AStratified Sampling
BRandom sampling
CMulti-stage sampling
DSystematic sampling
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Statistical Representation of DataPYQ Jan 26Question 4231 of 295
All Questions Correct Answer
✅ Option b — Random sampling
All Options:
- AStratified Sampling
- BRandom sampling
- CMulti-stage sampling
- DSystematic sampling
Detailed Solution & Explanation
Among the sampling methods, **Random Sampling** (specifically Simple Random Sampling) is a probability sampling method where every unit in the population has an equal and independent chance of being selected. Since the selection is based entirely on chance (e.g., using random number tables or lottery systems), it is completely free from the personal biases or preferences of the sampler.
Other methods like Stratified, Multi-stage, or Systematic sampling can sometimes involve choices or configurations by the investigator that could introduce bias, though they are also classified as probability sampling methods.
Hence, **Option B** is the correct answer.
Other methods like Stratified, Multi-stage, or Systematic sampling can sometimes involve choices or configurations by the investigator that could introduce bias, though they are also classified as probability sampling methods.
Hence, **Option B** 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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