A stem-and-leaf diagram is a simple way to organize and visualize numerical data. It provides a quick overview of the distribution of data, allowing us to identify patterns, clusters, and outliers.
This section will explore the construction and interpretation of stem-and-leaf diagrams, along with their advantages and limitations.
How to Construct a Stem-and-Leaf Diagram:
Separate each data point into a stem and a leaf:
The stem represents the leading digit(s).
The leaf represents the trailing digit(s).
List the stems vertically in ascending order.
Write the leaves for each stem horizontally, in ascending order.
Example:
Consider the following data: 23, 25, 27, 31, 33, 35, 38, 42, 45, 48.
The stem-and-leaf diagram would look like this:
Interpreting a Stem-and-Leaf Diagram:
Shape of the distribution: Symmetric, skewed, or uniform.
Center: The typical value, often represented by the median.
Spread: The range of values, from the minimum to the maximum.
Outliers: Values that are significantly different from the rest of the data.
Advantages of Stem-and-Leaf Diagrams:
Easy to construct and understand.
Preserves the original data values.
Provides a visual representation of the data distribution.
Can be used to identify patterns and outliers.
Limitations of Stem-and-Leaf Diagrams:
Not suitable for large datasets.
Can be cumbersome for data with many digits.
Less precise than other visualization techniques like histograms.