Statistical Representation of DataMCQPYQ Sep 24Question 2713 of 295
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An ogive is used to represent:

Options

AThe frequency of each data point
BThe number of data points falling below a specific value
CThe proportion of data points falling below a specific value
DThe relationship between two variables
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Correct Answer

Option bThe number of data points falling below a specific value

All Options:

  • AThe frequency of each data point
  • BThe number of data points falling below a specific value
  • CThe proportion of data points falling below a specific value
  • DThe relationship between two variables

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Detailed Solution & Explanation

An ogive, also known as a cumulative frequency curve, is a graphical representation of a cumulative frequency distribution. - A **Less than Ogive** is constructed by plotting the upper boundaries of class intervals on the x-axis and their corresponding 'less than' cumulative frequencies on the y-axis. - The value on the y-axis for any point on a 'less than' ogive directly represents the total count (frequency) of data points that are less than or equal to (i.e., falling below) the corresponding x-value. Let's analyze the options: - Option A is represented by a frequency polygon or histogram. - Option C is represented by a cumulative relative frequency curve (not a standard ogive, which plots raw frequency counts). - Option D is represented by a scatter diagram. Thus, a standard ogive represents the number of data points falling below a specific value. This corresponds to Option B. 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 Syllabus

Exam Strategy Tip

This topic carries 2-4 Marks weightage. Focus on understanding core concepts rather than memorizing.

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