![]() Every stemplot should have a key because it could be that the data values are decimals and a stem of 3 and a leaf of 4 represents 3.4 and not 34! Without a key, how would we know?įinally, as I mentioned, for some data sets a stemplot might not be as useful. So you don’t have to scroll, here is the finished stemplot along with the data set.Īlso, notice that we added a title (though here this is made up data, so it is a boring title!) and a key. Also, whenever there are repeats, we will just list the leaf part twice. Since there are no values with a stem of 2, we just skip that. Now to finish this, we will continue the same process. Now you see what I mean by “put the value next to its stem in order”. First, let’s put the 4 and 6 on the plot. You can do this all at once, but just to make sure you see where all the numbers are coming from, let’s do it in a couple of steps. Here is the same data set in order from smallest to largest. You shouldn’t skip any values! Step 3: Put each leaf next to its stem, in orderįor this step, it might be helpful to put your data set in order from smallest to largest. That’s way easier once you actually see it right? Notice that even though we don’t have any data values in the 20s that I still put a 2 there. ![]() So on the left of our bar we will write out all the whole numbers from 0 to 7. Largest value: 72 (so the largest stem is 7) Smallest value: 6 (so the smallest stem is 0) We will count up without skipping any numbers at all. We want to look at our data set and figure out the smallest and the largest stems. This step sounds much more complicated than it actually is. Step 2: Draw a vertical bar with all of the stems on the left The picture below shows how we will think about this for the first data value of 6. For this data set, the tens digit will be the stem and the ones digit will be the leaf.įor single digit numbers, we will use a zero as a placeholder for the tens digit. You want to pick it so that the leaf will be one digit (the reason for this will make sense in a minute). ![]() So let’s use the following small, made-up data set to see how to make a stemplot.Įach of the numbers in your data set can be viewed as being made up of two parts: a stem and a leaf. The only real downside to selecting a stemplot to represent your data set is that it can be overly complex for large data sets and look kind of goofy if the range of your data set is small (I’ll explain this after we see how to make one). This, along with the fact that you don’t lose information about individual data values is one of the benefits of a stemplot. When you compare them to histograms or boxplots, stemplots (or stem and leaf plots) are much more simple and straightforward to not only put together but also to read.
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