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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 · Frequency polygons are a type of graphical data distribution that aids in recognizing the data by giving it a particular form. Although frequency polygons and histograms are quite similar, they are more effective when comparing two or more sets of data. As a line graph, the graph primarily shows data from the cumulative frequency distribution.
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.
23 de abr. de 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.
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.
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.
The relative frequency is equal to the frequency for an observed value of the data divided by the total number of data values in the sample. (Remember, frequency is defined as the number of times an answer occurs.) If: f = frequency. n = total number of data values (or the sum of the individual frequencies), and. RF = relative frequency, then:
