avoid confusion with Normal as in Gaussian

example.m

@@ -41,7 +41,7 @@ plot(data_x(normal_idx), data_y(normal_idx), 'ko', ...
      plims, est_ls(1) + plims * est_ls(2) , '-r', ...
      plims, est_ts(1) + plims * est_ts(2), 'b-', ...
      'linewidth', 2)
-legend('Normal data', 'Outlier', 'Least Squares', 'Theil-Sen', 'location', 'NW')
+legend('Usual data', 'Outlier', 'Least Squares', 'Theil-Sen', 'location', 'NW')
 title(sprintf('True: [%.3g, %.3g], LS: [%.3g, %.3g], TS: [%.3g, %.3g]', ...
       [true_b0, true_b1, est_ls(1), est_ls(2), est_ts(1), est_ts(2)]))