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-rw-r--r--numpy/core/fromnumeric.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index fa8941828..7193af839 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -3562,9 +3562,9 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
Notes
-----
The variance is the average of the squared deviations from the mean,
- i.e., ``var = mean(abs(x - x.mean())**2)``.
+ i.e., ``var = mean(x)``, where ``x = abs(a - a.mean())**2``.
- The mean is normally calculated as ``x.sum() / N``, where ``N = len(x)``.
+ The mean is typically calculated as ``x.sum() / N``, where ``N = len(x)``.
If, however, `ddof` is specified, the divisor ``N - ddof`` is used
instead. In standard statistical practice, ``ddof=1`` provides an
unbiased estimator of the variance of a hypothetical infinite population.