![]() Once the column of stems are written down, we work our way through each number in the data set, and write its leaf in the row headed by its stem. To create the plot then, we first create a column of numbers containing the ordered stems. We could divide 83 into a stem of 8 and a leaf of 3. We could divide 85 into a stem of 8 and a leaf of 5. We could divide our first data point, 111, for example, into a stem of 11 and a leaf of 1. The basic idea behind a stem-and-leaf plot is to divide each data point into a stem and a leaf. A stem-and-leaf plot, on the other hand, summarizes the data and preserves the data at the same time. One primary disadvantage of using a histogram to summarize data is that the original data aren't preserved in the graph. We could, of course, summarize the data using a histogram. Once the data are obtained, it might be nice to summarize the data. After each person completed the test, they were assigned an intelligence quotient (IQ) based on their performance on the test. ![]() ![]() A random sample of 64 people were selected to take the Stanford-Binet Intelligence Test. ![]()
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