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When it comes to visualizing data in statistics, you have three primary options to represent your data. Frequency polygons, histograms, and box plots are all effective at demonstrating the distribution of your dataset as well as helping you identify outliers and trends, but only frequency polygons can help you uncover the relationship between two sets of data. To create an effective frequency polygon graph, follow these steps…
Understanding the basics of frequency polygon graph
A frequency polygon graph (also called a histogram) is commonly used in statistics to display numerical data in a visual format that can be used to determine the central tendencies and variability of the data set. To create a frequency polygon graph, you’ll need to use an x-axis (or horizontal axis) that represents values, a y-axis (or vertical axis) that represents frequencies, and then connect the x-axis and y-axis with points curves that form the shape of the frequency polygon graph.
What is Frequency Polygon?
A frequency polygon is a type of graph used to analyze data sets consisting of numerical measurements. A frequency polygon is used to show a relationship between two variables. For example, if there is a relationship between height and weight, then a frequency polygon can be constructed on two scales to show how height and weight relate to each other. Frequency polygons may also be referred to as histograms or as cumulative distributions graphs (CDFs). The concept of frequency polygons is commonly used when analyzing statistical data which has been grouped into classes.
How to make Frequency Polygons?
The frequency polygon graph is a non-parametric visual representation of data. These are most useful for showing frequencies of data where there are two variables. The type of frequency polygons we will make here are in regards to testing out test items at different intervals to see how they rank against one another. To learn how exactly to make frequency polygons, first, you will need some data with rankings for multiple items. For example, each student could give us a ranking on a scale from 1-10 as to which test was easiest or most difficult and so on; thus giving us multiple ranks per item. Once we have these rankings, we can start making our frequency polygon graphs!
What are the uses of Frequency Polygons?
The frequency polygon graph has multiple uses. It can be used to analyze statistical data and show relationships between discrete variables. Frequency polygons are especially effective when graphing qualitative data. The frequency polygon allows you to see if your data conforms to an expected pattern or if there is an unexpected deviation.
What is the importance of frequency polygon?
The frequency polygon is a graph that is used to illustrate the values of an ordinal or categorical variable. The independent axis represents the categories of the data while the dependent axis displays the frequency or count of a specific value. These points on the graph can be connected by straight lines to create a curve that has minimal distortion. The frequency polygon is used most often when representing discrete variables; however, it can also be applied to other kinds of data if appropriate modifications are made.
What are the properties of frequency polygon?
The frequency polygon graph has the following properties. A frequency polygon is a bar chart that uses rectangles to display data. It’s also known as a histogram. It can be used to display continuous or discrete data, but it’s most often used for continuous data. Frequency polygons are sometimes called area charts because they represent the area under a curve by using rectangles instead of bars. Rectangles with heights proportional to their frequencies are drawn on top of each other and connected at their tops by straight lines. These lines form an outline around each rectangle, which gives you a sense of how much area is being covered by all of them combined.
Practical Examples of Statistics using Frequency Polygons
Frequency Polygons are used for different purposes and a beginner should master these. This is because Statistics as a subject is crucial if one is to survive, let alone thrive, in both their professional and private life. Frequency polygons are used to explain how often a particular value or range of values occur, e.g., they could be used to describe things like average rainfall within a year or the number of cars sold within a month. Frequency polygons can be very useful when one needs quick data on patterns that can then be extrapolated into something more meaningful. In today’s discussion, we will try and look at some frequency polygon examples using real-life scenarios to help you better understand their practical usage.
Conclusion
In statistics, a frequency polygon is an appropriate chart to display the distribution of the data when there are two or more two categories and the distribution has more than two peaks and/or valleys. In this article, you will find out how to make a frequency polygon graph in statistics, how to read it, and how to create frequency polygons with Excel charts.
