In this article
Set up Significance Testing in your widgets by selecting Confidence Level and Minimum Sample Size. Get results in Charts or Tables with arrow icons.
1: Setting up Significance Testing
To set up Significance Testing in your Chart, Data Grid, Historical Benchmark, or Key Metrics Scorecard widget, follow these steps:
Click the edit widget icon.
In the sidebar, click the "Setup" drop-down menu.
Click the Significance Testing button.
Select the desired Confidence Level
Choose the Minimum Sample Size
2: Significance Testing Results
2.1: In Charts (Chart Widget)
When Significance Testing is enabled in your chart, you will see an up or down arrow displayed within the chart. By hovering over these arrows, you can access additional information about the value.
Example of significance testing
Hovering over the significance testing arrows
2.2: In Tables (Data Grid, Historical Benchmark, Key Metrics Scorecard widgets)
When Significance Testing is enabled in your table, icons will appear next to your metrics indicating the results of the test as follows:
A neutral icon for No Significance.
An upward-pointing arrow for Positive Significance.
A downward-pointing arrow for Negative Significance.
2.3: All vs All Significance Testing
You can display the results of an "All vs All" significance testing within a datagrid.
Results will include:
Letter labeling within the relevant columns/rows.
Indication of significance within the cells.
Meta data indicating the test type, columns tested, significance test level.
2.3.1: Example
cell meanTtest {
argument: .categoryScore:score
confidenceLevels: "90"
compare: all
results: both
dimension: rows
}