Exception tests on a table use colors, arrows, or some other symbol to identify which cells on a table are significantly different from the value of respondents not in that column, or its exception.
For example, in this table, 64% of persons 18 to 24 years old who prefer Coca-Cola is significantly greater than persons not in this age group. We also see that the percentage of persons 40 to 49% perfer Coca-Cola (28%), is significantly less than persons not in this column.
- A document containing a standard built-in Displayr table.
- Understanding of the two types of testing done in Displayr, see our Introduction to Significance Testing article in the.datastory.guide. There are detailed examples of how exception testing and column comparison testing works, as well.
- Select the table(s) you want to change significance testing assumptions on (you only need to select one if you want to change the default settings on all tables using default testing).
- In the object inspector, select Properties > Appearance > Significance > Advanced.
You will see the Advanced Statistical Testing Assumptions dialog:
- Select the Exceptions Tests tab.
- Multiple comparison correction: No correction is applied by default on exception tests. A check box is available if instead, you prefer to apply the correction within each span within each row. See How to Apply Multiple Comparison Correction to Statistical Significance Testing for more detail.
- Significance symbol: choose the symbol you want to show significance, either Arrow or Triangle. The default is Arrow. In this example, we will change the significance symbol to Triangle.
- From the Significance symbol menu, select Triangle.
- Once you've made your changes, click Apply to Selection to apply the changes to the selected tables or visualizations. You can also click Set as Default to change the document's default settings.
The results are as follows: