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Apr 23, 2022 · Frequency polygons are a graphical device for understanding the shapes of distributions. They serve the same purpose as histograms, but are especially helpful for comparing sets of data. Frequency polygons are also a good choice for displaying cumulative frequency distributions .
Definition of Frequency Polygons. Frequency Polygons can be defined as a form of a graph that interprets information or data that is widely used in statistics. This visual form of data representation helps in depicting the shape and trend of the data in an organized and systematic manner.
Frequency polygons are a visually substantial method of representing quantitative data and its frequencies. Let us discuss how to represent a frequency polygon. Steps to Draw Frequency Polygon. To draw frequency polygons, first we need to draw histogram and then follow the below steps:
Apr 25, 2024 · 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.
What is a frequency polygon? A frequency polygon shows the overall distribution of a data set. It looks a little bit like a line graph–but the points on the graph can be plotted using data from a histogram or a frequency table . Frequency polygons are especially useful for comparing two data sets.
A frequency polygon is very similar to a histogram. In fact, they are almost identical except that frequency polygons can be used to compare sets of data or to display a cumulative frequency distribution. In addition, histograms tend to be rectangles while a frequency polygon resembles a line graph. a cumulative frequency polygon. Image: NPS.gov.
Nov 28, 2020 · A frequency polygon is a graph constructed by using lines to join the midpoints of each interval, or bin. The heights of the points represent the frequencies. A frequency polygon can be created from the histogram or by calculating the midpoints of the bins from the frequency distribution table.
