diff --git a/Statistics/Function/Comparison.hs b/Statistics/Function/Comparison.hs
--- a/Statistics/Function/Comparison.hs
+++ b/Statistics/Function/Comparison.hs
@@ -17,8 +17,8 @@
     ) where
 
 import Control.Monad.ST (runST)
-import Data.Int (Int64)
 import Data.Primitive.ByteArray (newByteArray, readByteArray, writeByteArray)
+import Data.Word (Word64)
 
 -- | Compare two 'Double' values for approximate equality, using
 -- Dawson's method.
@@ -32,7 +32,7 @@
   buf <- newByteArray 8
   ai0 <- writeByteArray buf 0 a >> readByteArray buf 0
   bi0 <- writeByteArray buf 0 b >> readByteArray buf 0
-  let big  = 0x8000000000000000 :: Int64
+  let big  = 0x8000000000000000 :: Word64
       ai | ai0 < 0   = big - ai0
          | otherwise = ai0
       bi | bi0 < 0   = big - bi0
diff --git a/Statistics/Resampling.hs b/Statistics/Resampling.hs
--- a/Statistics/Resampling.hs
+++ b/Statistics/Resampling.hs
@@ -141,9 +141,9 @@
     brs = pfxSumR . G.map (subtract m) $ samp
     m = mean samp
     n = fromIntegral len
-    go al ar bl br = (al + ar - (b * b) / q) / q
+    go al ar bl br = (al + ar - (b * b) / q) / (q - c)
       where b = bl + br
-            q = n - (1 + c)
+            q = n - 1
     len = G.length samp
 
 -- | /O(n)/ Compute the unbiased jackknife variance of a sample.
diff --git a/statistics.cabal b/statistics.cabal
--- a/statistics.cabal
+++ b/statistics.cabal
@@ -1,5 +1,5 @@
 name:           statistics
-version:        0.11.0.1
+version:        0.11.0.2
 synopsis:       A library of statistical types, data, and functions
 description:
   This library provides a number of common functions and types useful