--- a/python/utils.py	Wed Jun 03 16:00:46 2015 +0200
+++ b/python/utils.py	Fri Jun 05 02:25:30 2015 +0200
@@ -26,6 +26,11 @@
 # Simple statistics
 #########################
 
+def logNormalMeanVar(loc, scale):
+    mean = exp(loc+(scale**2)/2)
+    var = (exp(loc**2)-1)*exp(2*loc+scale**2)
+    return mean, var
+
 def sampleSize(stdev, tolerance, percentConfidence, printLatex = False):
     from scipy.stats.distributions import norm
     k = round(norm.ppf(0.5+percentConfidence/200., 0, 1)*100)/100. # 1.-(100-percentConfidence)/200.