Statistical Representation of DataMCQPYQ Jan 21Question 2624 of 295
All Questions AQuality variable
BAn attribute
CA discrete variable
DA continuous variable
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Correct Answer
✅ Option b — An attribute
All Options:
- AQuality variable
- BAn attribute
- CA discrete variable
- DA continuous variable
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Detailed Solution & Explanation
In statistics, data characteristics are broadly classified into two categories:
1. **Variables (Quantitative Characteristics)**: Characteristics that can be measured directly in numerical units. For example, height , weight , or temperature . These can be discrete (taking isolated values) or continuous (taking any value within an interval).
2. **Attributes (Qualitative Characteristics)**: Characteristics that cannot be measured numerically but are instead described by categories or qualities (e.g., gender, religion, beauty, or honesty). We denote them by presence or absence of a quality.
Since the question asks for a variable with a qualitative characteristic, it is termed as an attribute.
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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