Histograms

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Practice Problems

Make a histogram with the following data. Use groups of size 10.


\(\textbf{1)}\) \( 12, 26, 24, 16, 24, 58, 33, 34, 35, 25, 28, 29, 33, 31, 22, 21, 25, 55 \)


\(\textbf{2)}\) \( 5, 24, 33, 35, 36, 15, 12, 3, 16, 17, 4, 15, 4, 5, 17, 18, 19, 32 \)


\(\textbf{3)}\) \( 1, 5, 2, 7, 8, 4, 41, 50, 55, 42, 27, 54, 44, 44, 43, 15, 2, 3 \)


See Related Pages\(\)

\(\bullet\text{ Circle Graphs (Pie Charts)}\)
\(\,\,\,\,\,\,\,\,\)Thumbnail for Circle Graphs
\(\bullet\text{ Box and Whisker Plot}\)
\(\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\)Thumbnail for Box and Whisker Plots
\(\bullet\text{ Stem and Leaf Plot}\)
\(\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\)Thumbnail for Stem and Leaf Plots


In Summary

A histogram is a type of graph that is used to represent the distribution of numerical data. It is similar to a bar graph, but it shows the frequency of data within a set of intervals (or “bins”) instead of showing the individual data points. To create a histogram, the data is first divided into a set of intervals, and then a bar is plotted for each interval with the height of the bar representing the frequency of the data within that interval. The bars in a histogram can be either adjacent or separated, depending on the type of histogram being used. Histograms are a useful tool for visualizing the distribution of numerical data and for identifying patterns and trends in the data.

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