Charts & Graphs. Charts & Graphs. Stacked Bar Graph. Stacked Bar Graph Definition of Stacked Bar Graph Stacked bar graph is a graph that is used to compare the parts to the whole. The bars in a stacked bar graph are divided into categories. Each bar represents a total.
Stacked Bar Graph
Definition of Stacked Bar Graph
Stacked bar graph is a graph that is used to compare the parts to the whole. The bars in a stacked bar graph are divided into categories. Each bar represents a total.
Examples of Stacked Bar Graph
In the following example, each bar of the stacked bar graph is divided into two categories: girls and boys.
Each of the three bars represents a whole.
That is: about 38 students like Basket Ball, out of which 16 are girls.
Sliding Bar Graph
Definition of Sliding Bar Graph
Sliding bar graphs show two categories as bars graphed in opposite directions. They can be used to compare amounts or frequencies.
Examples of Sliding Bar Graph
The sliding bar graph shown below represents the favorite fruit of grade 8 for both boys and girls.
Definition of Frequency Table
A frequency table is a table that lists items and uses tally marks to record and show the number of times they occur.
One type of graph is a line plot. A line plot provides an easy way to organize data. They are usually used when there is one group of data, and fewer than 50 values. A line plot consists of a horizontal number line, on which each value of a set is denoted by an x over the corresponding value on the number line.
Suppose thirty people live in an apartment building. These are the following ages:
58, 30, 37, 36, 34, 49, 35, 40, 47, 47, 39, 54, 47, 48, 54, 50, 35, 40, 38, 47, 48, 34, 40, 46, 49, 47, 35, 48, 47, 46
Your first step should be: placing the values in numerical order.
30, 34, 34, 35, 35, 35, 36, 37, 38, 39, 40, 40, 40, 46, 46, 47, 47, 47, 47, 47, 47, 48, 48, 48, 49, 49, 50, 54, 54, 58
A histogram is defined as a bar graph that shows frequency data. The first step in making a histogram is to collect data and sort it into categories. To continue, you must label the data as the independent set or the dependent set. The characteristic you grouped the data by would be the independent variable and the frequency of that set would be the dependent variable.