turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Stat Procs
- /
- Testing Paired t-test Normality Assumptions

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

08-03-2017 06:33 PM

I have a quick question about testing the assumption for paired t-tests that " The **distribution of the differences** in the **dependent variable** between the two related groups should be **approximately normally distributed**".

Say I have two groups one and two. The way I am supposed to do this is to create a new variable "diff=one-two"

then do..

Proc Univariate data=x normal;

qqplot / Normal (mu=est sigma=est);

var diff;

run;

Is this correct?

Or do i use this instead to test normality?

var one two;

I interpreted it as I am supposed to test the normality of the differences between groups not each group.

Thanks!

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Nebulus

08-03-2017 07:08 PM

Actually I'd probably use Proc Ttest. With ODS Graphics on the defaults will create some plots related to the distributions of differences. If I didn't see any problems then we're done.

Use the VAR Diff version. If you use two variables you will get separate results for each variable in Univariate.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Nebulus

08-05-2017 07:39 AM

I think both are equality. If both one and two are normal distribution, then dif=one-two must be normal distribution. because dif is linear combination of normal distribution.