Merge pull request #6820 from madphysicist/patch-1

Updated typos in histogram bin estimator equations

1 files changed, 2 insertions, 2 deletions

diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 9261dba22..3298789ee 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -268,14 +268,14 @@ def histogram(a, bins=10, range=None, normed=False, weights=None,
         large datasets respectively. Switchover point is usually x.size~1000.
 
     'FD' (Freedman Diaconis Estimator)
-        .. math:: h = 2 \\frac{IQR}{n^{-1/3}}
+        .. math:: h = 2 \\frac{IQR}{n^{1/3}}
         The binwidth is proportional to the interquartile range (IQR)
         and inversely proportional to cube root of a.size. Can be too
         conservative for small datasets, but is quite good
         for large datasets. The IQR is very robust to outliers.
 
     'Scott'
-        .. math:: h = \\frac{3.5\\sigma}{n^{-1/3}}
+        .. math:: h = \\frac{3.5\\sigma}{n^{1/3}}
         The binwidth is proportional to the standard deviation (sd) of the data
         and inversely proportional to cube root of a.size. Can be too
         conservative for small datasets, but is quite good