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  1. Both a line graph and frequency polygon graph are widely used when data is required to be compared. Frequency polygons are a type of line graph that helps in providing accurate data through a curved shaped line. Learn more about this interesting concept of frequency polygons, steps to plot, and solve a few examples.

  2. 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.

  3. 30 de jun. de 2023 · Key points. A frequency diagram is a type of graph used to represent a. continuous. set of grouped data. This may be a set of data with many individual values. Only by grouping the data and...

  4. Los polígonos de frecuencia también son una buena opción para mostrar distribuciones de frecuencia acumulativas. Para crear un polígono de frecuencia, comience igual que para los histogramas, eligiendo un intervalo de clase. Luego dibuja unX X -axis representing the values of the scores in your data.

  5. 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. A frequency polygon is used to display grouped data. To draw a frequency polygon we plot the midpoint of the group against the frequency and then join the points with straight lines. Here is a frequency table showing the time, in minutes, it took for 25 students to get to school one day.

  7. 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.