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Question

For given statistical data, the graphs for less than ogive and more than ogive are drawn. If the point at which the two curves intersect is P, then abscissa of point P gives the value of which one of the following measures of central tendency?

This question was previously asked in
NDA I 2017 GAT Previous Year Paper (23-Apr-2017)
The correct answer is

Median

Understanding Ogives and Measures of Central Tendency

In statistics, we often use graphical representations to understand the distribution of data. Ogives are a type of graph used to represent the cumulative frequency distribution of a dataset. There are two main types of ogives: the less than ogive and the more than ogive.

What are Less Than and More Than Ogives?

  • Less Than Ogive: This graph plots the cumulative frequency against the upper limits of the class intervals. It shows the number or percentage of observations that are less than or equal to a particular value. The curve typically rises from left to right.
  • More Than Ogive: This graph plots the cumulative frequency against the lower limits of the class intervals. It shows the number or percentage of observations that are greater than or equal to a particular value. The curve typically falls from left to right.

Intersection Point of Ogives and Measures of Central Tendency

Measures of central tendency, such as the mean, median, and mode, give us a single value that represents the center or typical value of a dataset. The question asks which of these is represented by the abscissa (the x-coordinate) of the point where the less than ogive and the more than ogive intersect.

Let's consider the intersection point P. At this point, the cumulative frequency shown by the less than ogive is equal to the cumulative frequency shown by the more than ogive. This specific value on the x-axis (the abscissa) is unique because it corresponds to the data value where the number of observations less than or equal to this value is equal to the number of observations greater than or equal to this value.

By definition, the Median is the middle value in a dataset when it is ordered. In a frequency distribution, the median is the value that divides the data into two equal halves. This means that 50% of the observations are less than or equal to the median, and 50% of the observations are greater than or equal to the median. Graphically, the median corresponds to the value on the x-axis where the cumulative frequency is equal to half of the total number of observations (\(\frac{N}{2}\), where N is the total frequency).

The intersection point of the less than ogive and the more than ogive occurs precisely at the data value where the cumulative frequency from the lower end (less than) equals the cumulative frequency from the upper end (more than). This point represents the median value of the statistical data.

  • The abscissa (x-coordinate) of the intersection point P corresponds to the value of the variable.
  • The ordinate (y-coordinate) of the intersection point P corresponds to half of the total frequency (\(\frac{N}{2}\)).

Therefore, the abscissa of the point P where the two ogives intersect gives the value of the Median.

Why Not Mean, Mode, or Geometric Mean?

  • Mean: The mean is the arithmetic average of the data and is calculated using all data points. It is not directly represented by a specific point on the cumulative frequency graphs.
  • Mode: The mode is the value that appears most frequently in the data. It can be found graphically using a histogram (as the peak or the highest rectangle), but not directly from the intersection of ogives.
  • Geometric Mean: The geometric mean is a type of mean calculated as the nth root of the product of n numbers. It is used for specific types of data (like rates of change) and is not represented by the intersection of ogives.

Based on the graphical method for finding measures of central tendency, the intersection of the less than ogive and more than ogive is specifically used to determine the Median.

The abscissa of the point P, where the less than ogive and more than ogive intersect, represents the value of the Median.

Revision Table: Key Concepts

Concept Description Graphical Representation
Less Than Ogive Cumulative frequency vs. upper class limits Rising curve
More Than Ogive Cumulative frequency vs. lower class limits Falling curve
Median Middle value; divides data into two equal halves Abscissa of the intersection of less than and more than ogives
Intersection Point P Where less than ogive and more than ogive cross Abscissa = Median, Ordinate = \(\frac{N}{2}\)

Additional Information: Other Graphical Methods

While ogives are excellent for finding the median graphically, other graphical methods are used for different measures of central tendency:

  • Histogram: Used to visualize the frequency distribution. The mode can be estimated from a histogram as the midpoint of the class interval with the highest frequency, or more accurately by drawing lines from the top corners of the modal class rectangle to the adjacent rectangles.
  • Frequency Polygon: Another way to represent frequency distribution, often derived from a histogram. It does not directly show any measure of central tendency at a specific point in the way the median is found from ogives.
  • Box Plot: While not a curve like ogives, a box plot visually shows the median (as a line within the box), quartiles, and potential outliers, giving a good summary of the data's distribution and central tendency.

Understanding these different graphical tools helps in analyzing statistical data comprehensively.

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Similar Questions

  1. Consider the following statements in respect of class intervals of grouped frequency distribution:

    1. Class intervals need not be mutually exclusive.

    2. Class intervals should be exhaustive.

    3. Class intervals need not be of equal width. Which of the above statements are correct?
  2. What is the sum of deviations of the variate values 73, 85, 92, 105, 120 from their mean?

  3. For which of the following sets of numbers do the mean, median and mode have the same value?

  4. The average of a set of 15 observations is recorded, but later it is found that for one observation, the digit in the tens place was wrongly recorded as 8 instead of 3. After correcting the observation, the average is

  5. The difference between number of students under Physics and Mathematics is largest for the interval

  6. Consider the following statements:

    1.modal value of the marks in Physics less in the interval 30 - 40.

    2. Median of the marks in Physics is less than that of marks in Mathematics.

    Which of the above statements is / are correct?

  7. What is the mean of marks in Physics?

  8. The arithmetic mean of 100 observation is 40. Later, it was found that an observation '53' was wrongly read as '83'. What is the correct arithmetic mean?

  9. Consider the following statements:

    1. The mean and median are equal in symmetric distribution.

    2. The range is the difference between the maximum value and the minimum value in the data.

    3. The sum of the areas of the rectangles in the histogram is equal to the total area bounded by the frequency polygon and the horizontal axis.

    Which of the above statements are correct?
  10. The mean weight of 150 students in a certain class is 60 kg. The mean weight of boys in the class is 70 kg and that of girls is 55 kg. What is the number of boys in the class?


Important Questions from Measures of Central Tendency

  1. What is the median of the following data?


    24, 30, 40, 80, 15, 57, 78, 82, 39, 97, 82

  2. In order to conduct exploratory data analysis, which of following are used by a researcher in the five number summary?

    A. Median

    B. First quartile

    C. Mean

    D. Third quartile

    E. Smallest and largest values

    Choose the correct answer from the options given below:
  3. The Geometric mean of four numbers 2, X, 16, 32 is 8. What is the value of X ?
  4. If mean = 28 and mode = 25, the value of median will be :
  5. Given arithmetic mean = 45, mode = 48, then median =
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