[simulations] exercise for normal data

simulations/code/normaldata.m

@@ -0,0 +1,14 @@
+randn(1, 3)
+randn(3, 1)
+randn(2, 4)
+
+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
+	x = sigma*randn(n, 1) + mu;      % weights of n tigers
+        fprintf('  m=%3.0fkg, std=%3.0fkg\n', mean(x), std(x))
+    end
+end

simulations/code/normaldata.out

@@ -0,0 +1,31 @@
+>> normaldata
+
+ans =
+
+  -0.89120   1.19863   0.95487
+
+ans =
+
+  -1.10001
+   0.79473
+   0.85979
+
+ans =
+
+  -1.19206   0.58278   1.70286  -1.28122
+  -0.19966  -1.85623   0.17962  -0.19272
+
+
+n=100:
+  m=218kg, std= 31kg
+  m=227kg, std= 29kg
+  m=224kg, std= 28kg
+  m=214kg, std= 26kg
+  m=219kg, std= 30kg
+
+n=10000:
+  m=220kg, std= 30kg
+  m=220kg, std= 30kg
+  m=220kg, std= 30kg
+  m=220kg, std= 30kg
+  m=220kg, std= 30kg