Are we talking about logistic regression / logit here?

If so the probability of a 1 on the DV is given by taking e to the power of the regression formula and dividing it by itself plus 1:

p(outcome) = [e^(B0 + B1(x1) + B2(x2) ... Bn(xn))] / [e^(B0 + B1(x1) + B2(x2) ... Bn(xn)) + 1]

Where B0 is the intercept coefficient, B1 is the coefficient for x1, etc. You plug in the individual's values for the predictors into this formula to get their probability of being a 1 on the DV. SAS should give you the t-test and p-value for each coefficient if you are using proc logistic.

The odds ratio for any one predictor is given by taking e to the power of that predictor's coefficient, e^(Bi). It's the same story for your categorical variable, but you will have to dummy code it with "0" as the reference level, meaning you will have two dummy variables, and two associated odds ratios. You have to dummy code (or have SAS do it for you, or effects code) your categorical variable, otherwise it will treat the categorical variable as if it is metric.