You can use a DATA Step to read in your data. With the small amount of data, using a DATA Step will be the quickest way to get your data into a SAS data set. Try something like
data test;
input trt $ y;
datalines;
TD 1.6
TN 2.4
;
run;
You will need 1 line for each observation, so just keep adding lines below the datalines; command and above the semicolon and run; lines. Once you have the data typed in, submit that code and then
proc print data=test;
run;
to make sure the data is in the data set correctly.
Once your data is in a SAS data set, you can use PROC GLM to analyze your experiment. Something like
proc glm data=test;
class trt;
model y=trt;
lsmeans trt / adjust=dunnett pdiff=control('TD');
run;
quit;
should do it. The LSMEANS statement says to compare each of the treatment levels of the variable TRT to the control level (as specified through the PDIFF= sub-option).
You can find documentation on PROC GLM here:
GLM Documentation