BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
robertrao
Quartz | Level 8


Hi,

In interpreting T-test results which of the following should we pick for the p-value?????

Method                  variances   DF         tvalue       pr>|t|

Pooled                   equal        42              3.68     0.0007

Satterthwaite       unequal      9.094         2.53    0.0320

Equality of Variences

Method        NumDF          DenDF      Fvalue    Pr>f

Folded F        8                   34            3.85         0.0051

Thanks

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

The second part of the display on equality of variances tests if the two goups of data have equal variance. If you have large F then the likelihood of equal variances is very low (Pr>f) and reject equality. Which would mean to use the row in the first section with unequal variance and the Satterwaite adjustments to the basic T-test.

If the F is low then the likelihood is the variance are equal, or close enough, and use the equal variance.


View solution in original post

3 REPLIES 3
ballardw
Super User

The second part of the display on equality of variances tests if the two goups of data have equal variance. If you have large F then the likelihood of equal variances is very low (Pr>f) and reject equality. Which would mean to use the row in the first section with unequal variance and the Satterwaite adjustments to the basic T-test.

If the F is low then the likelihood is the variance are equal, or close enough, and use the equal variance.


robertrao
Quartz | Level 8

Hi,

Thanks for the reply.

But how would we know if the F is low  or high??? What do we need to compare the F to check to see if F is high or low??

Could you explain???

thanks

SteveDenham
Jade | Level 19

There is a probability associated with that F test.  In the output, Pr>F is 0.0051.  That is pretty strong evidence that the differences in the variances are not due solely to chance, and that you would be advised to use the Satterthwaite approximation value.

Note well, though, that any test of variance equality or homogeneity is much more sensitive to the assumption of normality than is the actual t-test itself.  In this case, since the Satterthwaite degrees of freedom is so much different than the pooled method, I would be inclined to use the Satterthwaite t-test no matter what the result of the variance homogeneity was.  I assume that the sample sizes differed greatly by group, yes?

Steve Denham

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 3 replies
  • 898 views
  • 3 likes
  • 3 in conversation