If you followed the steps you should have two statistical tests. Could you please provide a screen capture of what you do see? Have you changed the column to have a nominal modeling type?
Testing for symmetry has several possible approaches. You could make a distribution of the continuous data and look at the Skewness measure under the Summary Statistics. A value reasonably close to zero would indicate the data likely come from a symmetric distribution. If you wanted to get a rough idea of the uncertainty in the skewness statistic, a rough rule of thumb is that the standard error for skewness is SQRT(6/n). This approach is usually sufficient for meeting the assumptions for the Wilcoxon test.
If you wish to perform a more precise test, you would need to build it using something like what is outlined in this journal article:
Randles, Fligner, Policello and Wolfe (1980)
An Asymptotically Distribution-Free Test for Symmetry Versus Asymmetry
Journal of the American Statistical Association
Vol. 75, No. 369, Mar., pp. 168-172
Dan Obermiller