Final answer:
To make a stem-and-leaf plot, list stems in a column and append the leaf digits next to them, corresponding to each data point. Single-digit numbers are shown with a preceding zero. The stemplot provides a clear visual distribution and easily identifies outliers.
Step-by-step explanation:
To create a stem-and-leaf plot, or stemplot, you must first identify the stems and the leaves of your data set. Using the data provided for Amazon package weights, which unfortunately are not actually listed in the question, you would break each weight down so that the stem is the leading number(s) and the leaf is the last significant digit. Assuming the weights of the packages were similar to those in the example with distances to supermarkets, you might have stems that range from 1 to possibly 5 or more depending on the highest weight, with leaves that consist of one digit.
For example, if your list included the weights 1.1, 1.5, 2.3, 3.2, 3.3, you would write:
Remember, each value is represented accurately, with no intervals as in a histogram.
Outliers in a stem-and-leaf plot can be easily identified—they will be those leaves that do not fit the pattern of the rest of the data. For example, if one package weighed 9.9, and all the others weighed 1.1 to 3.3, 9.9 would be considered an outlier.