For manifold classification, this method of presentation of data cannot be recommended:
Options
ATextual presentation
BTabular presentation
CBar Diagram
DPie Chart
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Statistical Representation of DataPYQ Sept 25Question 4162 of 295
All Questions Correct Answer
✅ Option a — Textual presentation
All Options:
- ATextual presentation
- BTabular presentation
- CBar Diagram
- DPie Chart
Detailed Solution & Explanation
Data presentation methods include textual, tabular, and diagrammatic presentation.
1. **Manifold Classification**: This refers to the classification of data based on multiple attributes simultaneously (e.g., classifying students by gender, then by stream of study, then by residency status).
2. **Textual Presentation**: In this method, data is presented in the form of paragraphs. For complex (manifold) classifications, textual presentation becomes extremely long, repetitive, verbose, and difficult to compare or understand.
3. **Tabular Presentation**: This is the best and most recommended method for manifold classification because it displays multi-attribute data systematically in rows and columns, allowing easy comparison.
4. **Diagrammatic Presentation (Bar Diagram, Pie Chart)**: While diagrammatic methods can show simple comparisons, they also become too cluttered for complex manifold classifications, but textual presentation is the least recommended and cannot be recommended at all for manifold classification.
Hence, **Option A** is the correct answer.
1. **Manifold Classification**: This refers to the classification of data based on multiple attributes simultaneously (e.g., classifying students by gender, then by stream of study, then by residency status).
2. **Textual Presentation**: In this method, data is presented in the form of paragraphs. For complex (manifold) classifications, textual presentation becomes extremely long, repetitive, verbose, and difficult to compare or understand.
3. **Tabular Presentation**: This is the best and most recommended method for manifold classification because it displays multi-attribute data systematically in rows and columns, allowing easy comparison.
4. **Diagrammatic Presentation (Bar Diagram, Pie Chart)**: While diagrammatic methods can show simple comparisons, they also become too cluttered for complex manifold classifications, but textual presentation is the least recommended and cannot be recommended at all for manifold classification.
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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