Frequency Tables, Stem and Leaf Plots and Line Plots

The scale includes all of the data. For example,
Dataset: 2, 10, 20, 6, 17, 3
Scale = 0 - 20

The scale has to be suitable so that we can divide it into regular intervals

The interval separates the scale into equal parts

Tally marks are counters used to record items in a group

After four tally marks, the fifth is represented as a strikeout

Tally marks are counters used to record items in a group

The number of tally marks denotes number of pieces of data (frequency)

The cumulative frequency of a dataset is the sum of all preceding frequencies

A line plot is a diagram that shows the frequency of the data on a number line. An 'X' is placed above the number on the number line each time that data value occurs

The range of data is the difference between the least and the greatest numbers in the data set. This value is helpful in seeing how the data are spread out

Cluster is the portion of the line plot where the data appear to cluster, or group closely together

A gap on the line plot is the region where no value from the data set lies in the range

An outlier is a value that is quite separated from the rest of the data. An outlier can be a very small value or a very large value as compared to the rest of the values of the data set

In a stem-and-leaf plot, the data are organized from least to greatest. The digits of the least place value usually form the leaves, and the next place value digits form the stems

To find the total number of data values on a plot, count the number of leaves for all the stems

The left most value of first stem gives the least value of the data set

The right most value of the last stem is the greatest value of the data set