Line plots and Stem and leaf

Front

What is a line plot?

Back

A line plot is a type of graph that displays data along a number line, showing the frequency of each value.

Front

What is a stem-and-leaf plot?

Back

A stem-and-leaf plot is a method of displaying quantitative data in a graphical format, similar to a histogram, that helps to visualize the shape of a distribution.

Front

How do you read a stem-and-leaf plot?

Back

In a stem-and-leaf plot, the 'stem' represents the leading digit(s) of the data values, while the 'leaf' represents the trailing digit. For example, in the stem '5 | 3', '5' is the stem and '3' is the leaf, representing the value 53.

Front

What information can you gather from a line plot?

Back

A line plot allows you to see the distribution of data points, identify the mode, and observe trends or patterns in the data.

Front

How do you determine the mode from a line plot?

Back

The mode is the value that appears most frequently in the data set, which can be easily identified in a line plot by looking for the highest point.

Front

What is the purpose of a stem-and-leaf plot?

Back

The purpose of a stem-and-leaf plot is to organize and display data in a way that retains the original values while also showing the distribution.

Front

How do you find the range of a data set using a stem-and-leaf plot?

Back

To find the range, subtract the smallest value from the largest value represented in the stem-and-leaf plot.

Front

What does it mean if a line plot has a peak?

Back

A peak in a line plot indicates that there is a value or range of values that occurs more frequently than others, suggesting a concentration of data points.

Front

How can you use a stem-and-leaf plot to identify outliers?

Back

Outliers can be identified in a stem-and-leaf plot as values that are significantly higher or lower than the rest of the data, often appearing isolated from the main group.

Front

What is the significance of the leaf in a stem-and-leaf plot?

Back

The leaf in a stem-and-leaf plot provides the actual data values, allowing for a quick reference to the original data while still showing the distribution.