Stem & Leaf and Scatter Plots

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, to retain the original data values while showing their distribution.

Front

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

Back

To create a stem-and-leaf plot, separate each data point into a 'stem' (the leading digit or digits) and a 'leaf' (the trailing digit). List the stems in a vertical column and write the leaves next to their corresponding stems.

Front

What does a scatter plot represent?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables, with each point representing an observation.

Front

What is correlation in a scatter plot?

Back

Correlation refers to the strength and direction of a linear relationship between two variables in a scatter plot. It can be positive, negative, or no correlation.

Front

What does a positive correlation indicate?

Back

A positive correlation indicates that as one variable increases, the other variable also tends to increase.

Front

What does a negative correlation indicate?

Back

A negative correlation indicates that as one variable increases, the other variable tends to decrease.

Front

What does no correlation mean?

Back

No correlation means there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.

Front

How do you interpret the slope of a scatter plot?

Back

The slope of a scatter plot indicates the direction and steepness of the relationship between the two variables. A positive slope indicates a positive correlation, while a negative slope indicates a negative correlation.

Front

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

Back

The purpose of using a stem-and-leaf plot is to organize and display data while preserving the original values, making it easier to identify patterns and distributions.

Front

How can you find the mode in a set of data?

Back

The mode is the value that appears most frequently in a data set. In a stem-and-leaf plot, it can be identified by looking for the stem with the most leaves.