Stem-and-leaf plots are a method for showing the frequency with which certain classes of values occur. You could make a frequency distribution table or a histogram for the values, or you can use a stem-and-leaf plot and let the numbers show the same information.
For instance, suppose you have the following list of values: 12, 13, 21, 27, 33, 34, 35, 37, 40, 40, 41. You could make a frequency distribution table showing how many tens, twenties, thirties, and forties you have:
Frequency
Class
Frequency
10 - 19
2
20 - 29
2
30 - 39
4
40 - 49
3
You could make a histogram, which is a bar-graph showing the number of occurrences, with the classes being numbers in the tens, twenties, thirties, and forties. (The shading of the bars in a histogram isn't necessary, but it can be helpful by making the bars easier to see, especially if you can't use color to differentiate the bars.)
The downside of frequency distribution tables and histograms is that, while the frequency of each class is easy to see, the original data points have been lost.
You can tell, for instance, that there must have been three listed values that were in the forties, but there is no way to tell from the table or from the histogram what those values might have been.
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steam and leaf plots are used to get the range, median, and mode of a group of numbers.
A graph and stem is different to a leaf plot because in a leaf plot, there is a stem and leaf in a plot, while in a graph and stem, there is a leaf and stem in a graph.
a plot that involves stem and leaf
How do you make a stem and leaf plot