Frequency Polygons: Formula, Advantages & Types (2024)

A frequency polygon is roughly identical to a histogram used to compare data sets or display a cumulative frequency distribution. It is a visual way of presenting the quantitative data and its frequency.Quantitative data is represented using a line graph.A frequency polygon and a histogram can be used together to get a more accurate view of the distribution shape in some circ*mstances.

When plotting a frequency polygon graph,calculate the midpoint or the classmark for every class interval. The formula for the same is:

Class Mark (Midpoint) = (Upper Limit + Lower Limit) / 2

Statistics focuses on gathering facts and information for a certain reason. For example, In the game of cricket, the statistics of the game are calculated by tabulating each run for each ball. Tables, graphs, pie charts, bar graphs, histograms, polygons, and other graphical representations of statistical data are used.

Read More:Measures of Central Tendency

Table of Content

  1. Frequency Polygons
  2. How to Make Frequency Polygons?
  3. Frequency Polygon Formula
  4. Advantage of Frequency Polygons
  5. Difference Between Frequency Polygons and Histogram
  6. Things to Remember
  7. Sample Questions

Key Terms: Frequency Polygons, Quantitative Data, Cumulative Frequency Distribution, Statistics, Data Sets

Frequency Polygons

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Frequency polygons can be defined as agraphical representation of data distribution which helps in understanding the data via the help of a specific shape.

  • Frequency polygons are very similar to histograms and help when comparing two or more data.
  • The graph helps to show cumulative frequency distribution data by means of a line graph.
  • Frequency polygons are expressed in the form of graphs which interprets information used in statistics.

Frequency Polygons: Formula, Advantages & Types (1)

Frequency Polygon

  • The visual data form representation help depict the trend and shape of data in an organised and systematic manner.
  • Frequency Polygons show the number of occurrences of class intervals via the shape of the graph.
  • While a frequency graph is a line graph showing cumulative frequency distribution data, a histogram shows a graph with rectangular bars without spaces.

Terms of Frequency Polygon

Some terms of Frequency Polygon are:

  • Class interval-Class interval is a datarange within which the value will fall. This makes the data look easy and basic
  • Midpoint- This is the centre point of the bar that will be drawn for the data, and it must be identified for the graph's symmetry.
  • Classmark-It is the average of the class interval's upper and lower limits.
  • Upper limit-It is the end boundary of the interval.
  • Lower limit-It this the first boundary of the interval.

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How to Make Frequency Polygons?

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The following are the steps required to follow for making a frequency polygon:

  • Select a class interval and record the results on the horizontal axes.
  • Mark the midpoint of every internal at the horizontal axes.
  • On vertical axes, mark the frequency.
  • Mark a point in the centre of each class interval at the height that corresponds to the frequency of the class interval.
  • Join these lines to form a line segment.
  • The figure obtained after joining the lines is known as a frequency polygon.

Precaution While Drawing The Curves:

  • The points should be shown in a way that they are straight.
  • It is necessary to draw rectangles because it shows a wider image of the data that is going to be represented on the graph.

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Frequency Polygon Formula

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When a frequency polygon graph is plotted, the midpoint or the classmark for each of the class intervals is calculated.Thus, theformula for calculating Classmark for each interval is:

Classmark = (Upper limit + Lower limit) / 2

Frequency Polygon Example

An example of a Frequency Polygon can be shown as:

Create a frequency polygon using the following information:

Test Scores 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

Thus,

Solution- First we need to calculate the cumulative frequency of the given data-

Test Scores Frequency CF
49.5-59.5 5 5
59.5-69.5 10 15
69.5-79.5 30 45
79.5-89.5 40 85
89.5-99.5 15 100

First, we have to begin plotting the class, such as 54.5, 64.5, 74.5, and so on, all the way up to 94.5. Here,the previous and next class marks to begin and end the polygon, i.e. 44.5 and 104.5.

The frequencies related to each classmark are then plotted against each class mark. Thus, the frequency for class marks 44.5 and 104.5 is zero and touches the x-axis, as shown below. These plot points are simply utilized to give the polygon a closed shape.

This is how the polygon looks:

Frequency Polygons: Formula, Advantages & Types (2)

Test Scores Example

Advantages of Frequency Polygon

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The advantages of frequency polygon are:

  • The frequency polygon not only sorts and represents the data but also makes it easy to make the comparison of the data given.
  • Frequency polygons are easy to understand and remember to provide a clear view of the distribution data.
  • This method is also less time taking as compared to other methods.
  • It's great for comparing two pieces of data that are of the same type especially when the data is vast and continuous.

Types of Frequency Polygon

There are several types of Frequency Polygons, which include:

Type Description
Frequency Polygon A frequency polygon is a graph constructed by joining the midpoints of each interval or bin.
Absolute Frequency Polygon Absolute Frequency Polygon has peaks showing the actual number of points in the associated interval.
Relative Frequency It is a histogram graph showing the relative frequency or probability density of a single variable.
Relative Frequency Polygon A Relative Frequency Polygon has peaks showing the percentage of total data points that fall within the interval.

Difference Between Frequency Polygons and Histogram

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The difference between Frequency Polygons and Histograms are:

Frequency Polygon Histograms
A Frequency polygon graph is shown in the form of a curve denoted by a line segment. A histogram is a graph which shows data via rectangular-shaped bars with no space between them.
Here, the midpoint of the frequencies is used. The frequencies are seen to be spread evenly over the class intervals.
The accurate points in a frequency polygon graph demonstrate data of the given class interval. The data comparison is not visually appealing in a histogram graph.

Things to Remember

  • A frequency polygon is an easy way for grouping the data.
  • A frequency polygon graph is a visual way of presenting quantitative data and its frequency.
  • A frequency polygon is used to compare data sets or illustrate a cumulative frequency distribution.
  • The formula for calculating Classmark for each interval is:Classmark = (Upper limit + Lower limit) / 2

Sample Questions

Ques.What is the difference between a frequency curve and a frequency polygon? (1 mark)

Ans.The difference between a frequency polygon and a frequency curve is that a frequency polygon is drawn by connecting points with a straight line, but a frequency curve is drawn with a free hand. A frequency polygon is very closely similar to a histogram.While, a frequency curve can be obtained by joining the top midpoints of all rectangles of a histogram by means offree hand.

Ques. What is the formula of the Frequency Polygon Graph?(1mark)

Ans. The Formula of the Frequency Polygon Graph is: Class Mark (Midpoint) = (Upper Limit + Lower Limit) / 2.

Ques.Why is a frequency polygon used? (1mark)

Ans.Frequency polygons help us grasp the shape of the data as well as its tendencies.They act likehistograms but are helpful when comparing sets of data. Frequency polygons helpdisplay cumulative frequency distributions.

Ques. What is Relative Frequency Polygon?(1mark)

Ans.A Relative Frequency Polygon can be expressed as a graph with peaks showing the percentage of total data points that fall within the interval.For example, in a test score example, the relative frequency can be calculated by dividing the frequency of a score by the number of scores (N).

Ques. What are the differences between Frequency Polygon and Histogram? (2 marks)

Ans.The differences between Frequency Polygon and Histogram are:

Frequency Polygon Histograms
A Frequency polygon graph is a form of a curve denoted by a line segment. A histogram is a graph showing data via rectangular-shaped bars with no space between them.
The midpoint, here, of the frequencies is used. Here, the frequencies spread evenly over the class intervals.

Ques. What are the uses of frequency polygons? (2 marks)

Ans.Some uses of Frequency Polygons are:

  • It is used when the given data is large, and continuous in form.
  • It is used while comparing two different sets of data of the same nature.

Ques.Explain the steps involve in constructing a frequency polygon. (3marks)

Ans.For making the polygraph following steps are needed to be followed-

  • Make a histogram
  • Calculate the midpoint of each bar.
  • Placing a point at the beginning and end of the histogram
  • Connect the points.

Ques. A frequency distribution's frequency polygon is depicted below.
Frequency Polygons: Formula, Advantages & Types (3)
Answer the following question based on this:
1.What is the average number of students in a class period with a class mark of 15?
2.What is the class interval for a 45th grader?
3.For the distribution, construct a frequency table. (5 marks)

Ans.The following answers can be shown as:

  1. 18
  2. 40-50
  3. The class intervals are 0 – 10, 10 – 20, 20 – 30, 30 – 40, 40 – 50, 50 – 60 since the class marks of consecutive overlapping class intervals are 5, 15, 25, 35, 45, 55. As a result, the frequency table is built as follows.
Class Interval Frequency
0 - 10 10
10 - 20 18
20 - 30 14
30 - 40 26
40 - 50 8
50 - 60 18

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Frequency Polygons: Formula, Advantages & Types (2024)

FAQs

Frequency Polygons: Formula, Advantages & Types? ›

The Formula of the Frequency Polygon Graph is: Class Mark (Midpoint) = (Upper Limit + Lower Limit) / 2. Ans. Frequency polygons help us grasp the shape of the data as well as its tendencies. They act like histograms but are helpful when comparing sets of data.

What are the advantages of frequency polygons? ›

1. The frequency polygons not only help to make sure that the data is sorted out and represented, but they are also going to make it easier for the people to compare and contrast all the results. 2. These are much easier to understand and they give a clear picture of the distribution of data.

What is the formula of frequency polygon? ›

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.

What are the disadvantages of frequency polygon in statistics? ›

Some of the disadvantages of frequency polygon are: May oversimplify the data: These group data into intervals or bins, which may oversimplify the data and hide essential details or nuances.

What are the advantages of frequency curve? ›

A frequency curve has the greatest advantage of showing the skewness of the distribution that is whether it is positively skewed, negatively and symmetric distribution.

What are the advantages of polygon method? ›

The Main Benefits and Disadvantages of Polygonal Modeling
ADVANTAGESDISADVANTAGES
Polygonal modeling allows designers to create more unique / organic looking designs (humans, animals, etc.)Polygonal models don't hold up on all resolutions
2 more rows

What is the advantage of frequency? ›

Advantages of Frequency Modulation

The amplitude of the frequency-modulated wave does not get affected. Frequency Modulation decreases the noise; hence, there is a significant increase in the signal to noise ratio. We can also reduce the noise by increasing the frequency deviation.

What does a frequency polygon tell you? ›

Frequency Polygons. A frequency polygon is almost identical to a histogram, which is used to compare sets of data or to display a cumulative frequency distribution. It uses a line graph to represent quantitative data.

What is polygon formula? ›

Polygon Formula

The important polygon formulas are: The sum of interior angles of a polygon with “n” sides =180°(n-2) Number of diagonals of a “n-sided” polygon = [n(n-3)]/2.

What are the key features of a frequency polygon? ›

Frequency polygon: A plot of the distinct data values and their frequencies that connects the plotted points by straight lines. Symmetric data set: A data set is symmetric about a given value x 0 if the frequencies of the data values x 0 − c and x 0 + c are the same for all values of c.

Why are frequency polygons better than histograms? ›

Frequency polygon is a continuous curve and it is easy to determine the scope and rate of change estimates. This is not possible in the case of a histogram.

Which of the following is the main purpose for using a frequency polygon? ›

The primary purpose of a frequency polygon is to allow histogram-like data representation of two sets of data on the same graph. Two histograms on the same graph tend to shroud each other and make comparison more difficult, but two frequency polygons can be graphed together with much less interference.

What are the advantages of a frequency polygon? ›

The advantages of frequency polygons are that they can help visualize the distribution of data, help identify outliers, and help identify patterns in the data.

What is the difference between a frequency polygon and a frequency curve? ›

Question 4: Differentiate between a frequency polygon and frequency curve? Answer: The major difference between a frequency polygon and frequency curve is that the drawing of a frequency polygon by joining points by a straight line while the drawing of a frequency curve takes place by a smooth hand.

What are two advantages of frequency distribution? ›

Advantages of Frequency distribution: With frequency distribution the data will be in the most understandable form. The range of the data can be determined easily. We can be able to determine the data distribution.

What are the advantages of frequency distribution? ›

Frequency distribution helps understand trends from large data sets when collected from their raw form. The visual representation shows data organised into class intervals, which is easier to understand for non-statisticians.

What are the advantages of frequency scale? ›

The frequency is commonly plotted on a logarithmic scale too. This has the advantage that each decade (10:1 range) of frequency takes up the same amount of space, so many decades can be shown without cramping the detail at the lower frequencies.

What are the advantages of frequency translation? ›

A frequency translation method is designed to shift low frequency signals to intermediate frequen- cies in order to utilize higher-frequency components. This solution, appropriate for applications involving 1-10MHz signals, can provide continuously variable gain and filtering at little cost in dynamic performance.

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