If your class variable has only two levels , TTest is good enough, If you worry about whether rate is normal distribution or not, then wilcoxom rank sum test is better choice. ... View more

Under the right conditions, GLM and TTEST ought to give equivalent answers. GLM will result in a F test, TTEST will result in a t-test, however if the GLM F-test is statistically significant, then the t-test will also be statistically significant, and vice versa.   then 2nd test there are 10 years grouping and each years there are 100 mortality rate points. I would like to do a pairing comparison for each 10 years.   I don't know what "pairing comparison" means. Show us with a small data set, and explain what you want to do in more detail. ... View more

It would be very helpful if you provided (a portion of) your data via SAS data step code, and not in any other format.   In any event, the general outline of what you want to do is:   proc glm data=whatever; class x1 x2; model y = x1 x2 /* the interaction is optional */ x1*x2; run; quit;   ... View more

gender is a categorical variable and needs to be used as class. ... View more

Sure, you likely want to be using the STACKODS options.    If you run these examples and follow them through, you'll see the different kinds of output you can get. In this particular case the analysis is grouped by ID and feature, so different statistics for each ID level. If you don't need this, ignore the BY statement.    *Create summary statistics for a dataset by a 'grouping' variable and store it in a dataset; *Generate sample fake data; data have; input ID feature1 feature2 feature3; cards; 1 7.72 5.43 4.35 1 5.54 2.25 8.22 1 4.43 6.75 2.22 1 3.22 3.21 7.31 2 6.72 2.86 6.11 2 5.89 4.25 5.25 2 3.43 7.30 8.21 2 1.22 3.55 6.55 ; run; *Create summary data; proc means data=have noprint; by id; var feature1-feature3; output out=want median= var= mean= /autoname; run; *Show for display; proc print data=want; run; *First done here:https://communities.sas.com/t5/General-SAS-Programming/Getting-creating-new-summary-variables-longitudinal-data/m-p/347940/highlight/false#M44842; *Another way to present data is as follows; proc means data=have stackods nway n min max mean median std p5 p95; by id; var feature1-feature3; ods output summary=want2; run; *Show for display; proc print data=want2; run; https://github.com/statgeek/SAS-Tutorials/blob/master/proc_means_basic.sas   And some other useful ones here: https://documentation.sas.com/?docsetId=proc&docsetVersion=9.4&docsetTarget=p13nj9tbyfmmwyn1az938n5wic3p.htm&locale=en Note there are more examples, click through the menu on the left hand side to see the other variations.    Specifically STACKODS here: https://documentation.sas.com/?docsetId=proc&docsetVersion=9.4&docsetTarget=p17h6q7ygvkl1sn13qzf947dundi.htm&locale=en   @ralphbenno wrote: I finally was able to use the import wizard to convert my excel table into SAS. First time I am using excel.with data   I have attached my excel I would like mean and standard deviation per column and rows.   Cant do it correctly./Can anybody provide with simple code.   thank you       ... View more

proc means or proc summary????   with a class or by statement if sorted ... View more

@ralphbenno wrote: Compare tires purchased from 2 different companies- random sample of 10 tires,  Sample data is attached. Q.Need SAS code for test to determine if there is a difference between the standard deviation of the two brands. calculate the p-value What have you tried so far? This sounds a lot like homework for a class. If so, did your instructor provide any idea what test would be appropriate? Or suggested SAS Procedure? ... View more

Post the full code you ran. I tested it before answering and it worked fine. ... View more