Frequency Polygons Examples

Example 1: The frequency data below was used to create a frequency polygon.

Class Interval Frequency

49.5-59.5

5

59.5-69.5

10

69.5-79.5

30

79.5-89.5

40

89.5-99.5

15

Solution:

By first determining the classmark using the equation Classmark = (Upper Limit + Lower Limit) / 2, we may build a frequency polygon without a histogram. Additionally, by combining the previous and next frequencies, we can get the cumulative frequency of each class interval.

Class Interval:

  • (59.5 + 49.5/2) = 54.5
  • (69.5 + 59.5/2) = 64.5
  • (79.5 + 69.5/2) = 74.5
  • (89.5 + 79.5/2) = 84.5
  • (99.5 + 89.5/2) = 94.5
Class Interval Lower Bound Upper Bound Classmark Frequency

49.5-59.5

49.5

59.5

54.5

5

59.5-69.5

59.5

69.5

64.5

10

69.5-79.5

69.5

79.5

74.5

30

79.5-89.5

79.5

89.5

84.5

40

89.5-99.5

89.5

99.5

94.5

15

We note the before and after classmarks as well while plotting the graph. The before in this instance is 44.5, while the after is 104.5. The scores are shown on the x-axis, while the frequency is indicated on the y-axis. Consequently, the frequency polygons graph will seem like follows:

Example 2: Assume that a class of 65 students’ weights are distributed as follows: 15 – 25, 25 – 35, 35 – 45, and 45 – 55. How many grade points would there be for each weight category?

Solution:

Formula used to get the classmark for a Frequency Polygon Graph is:

Classmark = (Upper Limit + Lower Limit) / 2

Hence,

  • Class interval 15-25 = (15 + 25)/2 = 20
  • Class interval 25-35 = (25 + 35)/2 = 30
  • Class interval 35-45 = (35 + 45)/2 = 40
  • Class interval 45-55 = (45 + 55)/2 = 50

Frequency Polygons in Statistics

Frequency Polygons in Statistics: A frequency polygon is a type of line graph where the frequencies of classes are plotted against their midpoints. This graphical representation closely resembles a histogram and is typically used for comparing data sets or showing cumulative frequency distributions. It uses a line graph to represent quantitative data.

Frequency polygons are one of the great methods to represent statistical data so that it can be read easily. In statistics, we deal with lots of data, and reading it quickly is necessary for solving statistical problems effectively.

Frequency polygons help us to achieve the same result. In this article, we will learn about frequency polygons, their formula, examples, and others in detail.

Frequency Polygons

Table of Content

  • What is a Frequency Polygon in Statistics?
  • Frequency Polygon Graph
  • Cumulative Frequency Polygon
  • How to Draw Frequency Polygon?
  • Histogram and Frequency Polygons
  • Frequency Polygons Examples
  • Frequency Polygons Are Used For – Applications

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What is a Frequency Polygon in Statistics?

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Cumulative Frequency Polygon

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Summary – Frequency Polygons in Statistics

Frequency polygons are graphical tools used in statistics to represent the distribution of data points. They are essentially line graphs that plot class frequencies against class midpoints, making them very similar to histograms but offering a clearer visual comparison between multiple datasets. These graphs are particularly valuable for analyzing trends, comparing distributions, and identifying characteristics such as skewness and kurtosis in the data. By providing a visual summary of data, frequency polygons serve as an effective educational tool to enhance understanding of statistical distributions and are useful in diverse applications from business analytics to academic research....

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