[simulations] improved univariate data exercise

simulations/code/normaldata.m

@@ -1,10 +1,11 @@
+% getting familiar with the randn() function:
 randn(1, 3)
 randn(3, 1)
 randn(2, 4)
 
+% simulate tiger weights:
 mu = 220.0;       % mean and ...
 sigma = 30.0;     % ... standard deviation of the tigers in kg
-
 for n = [100, 10000]
     fprintf('\nn=%d:\n', n)
     for i = 1:5
@@ -12,3 +13,8 @@ for n = [100, 10000]
         fprintf('  m=%3.0fkg, std=%3.0fkg\n', mean(x), std(x))
     end
 end
+
+% plot the data:
+plot(x(1:1000), 'o')
+xlabel('Index')
+ylabel('Weight [kg]')