Index: lnt/external/stats/stats.py
===================================================================
--- lnt/external/stats/stats.py
+++ lnt/external/stats/stats.py
@@ -775,7 +775,7 @@
     samples = ''
     while samples not in ['i','r','I','R','c','C']:
         print('\nIndependent or related samples, or correlation (i,r,c): ', end=' ')
-        samples = raw_input()
+        samples = input()
 
     if samples in ['i','I','r','R']:
         print('\nComparing variances ...', end=' ')
@@ -810,7 +810,7 @@
         corrtype = ''
         while corrtype not in ['c','C','r','R','d','D']:
             print('\nIs the data Continuous, Ranked, or Dichotomous (c,r,d): ', end=' ')
-            corrtype = raw_input()
+            corrtype = input()
         if corrtype in ['c','C']:
             m,b,r,p,see = linregress(x,y)
             print('\nLinear regression for continuous variables ...')
@@ -2996,7 +2996,7 @@
     samples = ''
     while samples not in ['i','r','I','R','c','C']:
         print('\nIndependent or related samples, or correlation (i,r,c): ', end=' ')
-        samples = raw_input()
+        samples = input()
 
     if samples in ['i','I','r','R']:
         print('\nComparing variances ...', end=' ')
@@ -3031,7 +3031,7 @@
         corrtype = ''
         while corrtype not in ['c','C','r','R','d','D']:
             print('\nIs the data Continuous, Ranked, or Dichotomous (c,r,d): ', end=' ')
-            corrtype = raw_input()
+            corrtype = input()
         if corrtype in ['c','C']:
             m,b,r,p,see = linregress(x,y)
             print('\nLinear regression for continuous variables ...')