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A frequency polygon is a type of line graph where a line segment curves to join the midpoints of all the class intervals. The shape of the curved line helps in providing accurate data. Both a line graph and frequency polygon graph are widely used when data is required to be compared.
25 de abr. de 2024 · 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.
To draw frequency polygons, first we need to draw histogram and then follow the below steps: Step 1- Choose the class interval and mark the values on the horizontal axes. Step 2- Mark the mid value of each interval on the horizontal axes. Step 3- Mark the frequency of the class on the vertical axes.
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.
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.
2 de abr. de 2023 · Frequency polygons are analogous to line graphs, and just as line graphs make continuous data visually easy to interpret, so too do frequency polygons. To construct a frequency polygon, first examine the data and decide on the number of intervals, or class intervals, to use on the x-axis and y-axis.
6 de feb. de 2021 · 2.2: Histograms, Ogives, and Frequency Polygons - Statistics LibreTexts. Last updated. Feb 6, 2021. Kathryn Kozak. Coconino Community College. For most of the work you do in this book, you will use a histogram to display the data. One advantage of a histogram is that it can readily display large data sets.