{"id":42,"date":"2023-01-31T00:45:59","date_gmt":"2023-01-31T00:45:59","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/applications-of-bar-graphs-learn-it-3\/"},"modified":"2025-10-07T14:18:32","modified_gmt":"2025-10-07T14:18:32","slug":"applications-of-bar-graphs-learn-it-2","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/applications-of-bar-graphs-learn-it-2\/","title":{"raw":"Applications of Bar Graphs: Learn It 2","rendered":"Applications of Bar Graphs: Learn It 2"},"content":{"raw":"

More Comparing a Variable Across Groups<\/h2>\r\n

Stacked Bar Charts<\/h3>\r\n
\r\n

stacked bar charts<\/h3>\r\n

Stacked bar charts<\/strong> display the same data as a contingency table and a side-by-side bar graph.<\/p>\r\n

This type of chart offers a different perspective of a visual comparison between the groups, where the height of each bar totals [latex]100\\%[\/latex] for that group.<\/p>\r\n<\/section>\r\n

In the stacked bar chart, each bar represents the responses of one group. The height of each color within that bar represents a percentage of a particular response and the combination of all colors represents the total [latex](100\\%)[\/latex] of all responses within that group.\u00a0 Like the side-by-side bar chart where percentage is plotted along the vertical axis, you cannot make conclusions or comparisons regarding the absolute counts of responses within or between groups.<\/p>\r\n

A single stacked bar chart is very similar to a pie chart, but it uses rectangular regions rather than pie slices to represent each category.<\/section>\r\n

Rather than showing a different bar for each category, stacked bar charts display sub-categories as segments within each bar. Sometimes the bars represent counts, while others, such as the ones we see in the questions below, display percentages. Each segment represents a percentage of the whole, so it\u2019s easy to see relative differences within a bar. But as segment percentages grow smaller, it can become difficult to estimate them.<\/p>\r\n

[ohm2_question hide_question_numbers=1]2933[\/ohm2_question]<\/section>\r\n
[ohm2_question hide_question_numbers=1]2934[\/ohm2_question]<\/section>\r\n
[ohm2_question hide_question_numbers=1]761[\/ohm2_question]<\/section>","rendered":"

More Comparing a Variable Across Groups<\/h2>\n

Stacked Bar Charts<\/h3>\n
\n

stacked bar charts<\/h3>\n

Stacked bar charts<\/strong> display the same data as a contingency table and a side-by-side bar graph.<\/p>\n

This type of chart offers a different perspective of a visual comparison between the groups, where the height of each bar totals [latex]100\\%[\/latex] for that group.<\/p>\n<\/section>\n

In the stacked bar chart, each bar represents the responses of one group. The height of each color within that bar represents a percentage of a particular response and the combination of all colors represents the total [latex](100\\%)[\/latex] of all responses within that group.\u00a0 Like the side-by-side bar chart where percentage is plotted along the vertical axis, you cannot make conclusions or comparisons regarding the absolute counts of responses within or between groups.<\/p>\n

A single stacked bar chart is very similar to a pie chart, but it uses rectangular regions rather than pie slices to represent each category.<\/section>\n

Rather than showing a different bar for each category, stacked bar charts display sub-categories as segments within each bar. Sometimes the bars represent counts, while others, such as the ones we see in the questions below, display percentages. Each segment represents a percentage of the whole, so it\u2019s easy to see relative differences within a bar. But as segment percentages grow smaller, it can become difficult to estimate them.<\/p>\n