In this article
Significance Testing allows subgroup comparisons with T-Test, Z-Test. Set confidence levels, display options, view significant differences in crosstab cells.
1: Significance Testing Overview
To learn about Significance Testing, visit: Significance Testing Overview.
Significance testing allows for in-depth analytical comparisons between non-overlapping sub-groups.
In the Advanced Reporting ribbon, the Significance testing drop-down offers the ability to apply significance testing to your Crosstab.
Significance tests apply to percentage shares and mean results and are configurable to compare all splits against each other or each split against its predecessor.
Results of significance tests are displayed within the crosstab cells. Symbols or letters indicate statistically significant differences, explained in the table key.
2: Applying Significance Testing
Access the Significance Test drop-down menu from the Advanced Reporting ribbon. From here, you can apply significance testing and select the test type.
For more detailed settings, click "See all settings" at the bottom of the drop-down menu. This opens the Significance Testing menu:
1 Apply significance testing - Toggle the application of significance testing on or off.
2 Type of test - Choose between T-Test or Z-Test.
3 Confidence level - Set the desired confidence level.
4 Minimum base size - Specify a minimum base size for the data to be included in the test.
5 Results shown - Opt for displaying both positive and negative results, or only positive or only negative ones.
6 Compare values to - Determine which data to compare: all rows or a specific subset.