Statistical Representation of DataMCQPYQ Jan 21Question 2621 of 295
All Questions AQuantitative
BQualitative
CSimple
DFactored
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Correct Answer
✅ Option c — Simple
All Options:
- AQuantitative
- BQualitative
- CSimple
- DFactored
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Detailed Solution & Explanation
Data classification is the process of grouping raw data into homogeneous categories based on common characteristics. Depending on the number of criteria used for classification, it is classified as:
1. **Simple Classification**: When data is classified according to a single criterion or a single attribute (say, attribute ), the classification is termed as simple or one-way classification. For instance, classifying a group of people based on gender only.
2. **Manifold Classification**: When data is classified according to two or more attributes (say, attributes and , or more), it is called manifold classification.
Since the question specifies classification according to one criterion, it is called simple classification.
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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