How to Set the Default Type of Significance Test

Every Document has a default set of assumptions and settings used in statistical testing. You can change these assumptions on individual tables, and also change the default assumptions for the document. This article describes how to set the default type of Significance Test so that the same method is applied to all tables in the Document using the default settings. 

Requirements

Familiarity with Displayr's significance testing settings. See: How to Apply Significance Testing in Displayr

Create a table on a Page in your Document. By default, when you create a table in Displayr, significance is set to display with Arrows and Fonts colors. 

Please note this requires the Data Stories module or a Displayr license.

Method

1. Select any table in your Document.
2. In the Object Inspector, go to Appearance > APPEARANCE > Significance > Advanced
3. Select the Significance Levels tab (if necessary)

Let's say we would like to change the default settings for Overall significance to 0.100 (a 90% confidence interval) and Minimal sample size for testing to 30

4. In the Overall significance level box, type 0.100

5. In the Minimal sample size for testing box, type 30

6. Click Set as Default to change these settings for any current outputs in the document that are using the default settings, as well as any new outputs you create.

The results are as follows:

Restore to Document default settings

If you want to revert to the document's current default settings:

• Click the Restore button   
  
  

Note: The Restore button will only be enabled when settings for the selected item(s) are different from the document's current default settings (settings saved by Set as Default). The Restore button will be disabled if you did not save any settings for the selected item(s).

Next

How to Change the Overall Confidence Level at which Significant Differences are Displayed

How to Conduct Significance Tests by Comparing to Previous Time Periods

How to Apply Multiple Comparison Correction to Statistical Significance Testing