diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index 00c0b53..a790ed8 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -77,7 +77,7 @@
 
 .. function:: mean(data)
 
-   Return the sample arithmetic mean of *data* which can be a sequence or iterator.
+   Return the sample arithmetic mean of *data* which can be a sequence or iterable.
 
    The arithmetic mean is the sum of the data divided by the number of data
    points.  It is commonly called "the average", although it is only one of many
@@ -122,7 +122,7 @@
    Convert *data* to floats and compute the arithmetic mean.
 
    This runs faster than the :func:`mean` function and it always returns a
-   :class:`float`.  The *data* may be a sequence or iterator.  If the input
+   :class:`float`.  The *data* may be a sequence or iterable.  If the input
    dataset is empty, raises a :exc:`StatisticsError`.
 
    .. doctest::
@@ -143,7 +143,7 @@
 
    Raises a :exc:`StatisticsError` if the input dataset is empty,
    if it contains a zero, or if it contains a negative value.
-   The *data* may be a sequence or iterator.
+   The *data* may be a sequence or iterable.
 
    No special efforts are made to achieve exact results.
    (However, this may change in the future.)
@@ -158,7 +158,7 @@
 
 .. function:: harmonic_mean(data)
 
-   Return the harmonic mean of *data*, a sequence or iterator of
+   Return the harmonic mean of *data*, a sequence or iterable of
    real-valued numbers.
 
    The harmonic mean, sometimes called the subcontrary mean, is the
@@ -202,7 +202,7 @@
 
    Return the median (middle value) of numeric data, using the common "mean of
    middle two" method.  If *data* is empty, :exc:`StatisticsError` is raised.
-   *data* can be a sequence or iterator.
+   *data* can be a sequence or iterable.
 
    The median is a robust measure of central location and is less affected by
    the presence of outliers.  When the number of data points is odd, the
@@ -231,7 +231,7 @@
 .. function:: median_low(data)
 
    Return the low median of numeric data.  If *data* is empty,
-   :exc:`StatisticsError` is raised.  *data* can be a sequence or iterator.
+   :exc:`StatisticsError` is raised.  *data* can be a sequence or iterable.
 
    The low median is always a member of the data set.  When the number of data
    points is odd, the middle value is returned.  When it is even, the smaller of
@@ -251,7 +251,7 @@
 .. function:: median_high(data)
 
    Return the high median of data.  If *data* is empty, :exc:`StatisticsError`
-   is raised.  *data* can be a sequence or iterator.
+   is raised.  *data* can be a sequence or iterable.
 
    The high median is always a member of the data set.  When the number of data
    points is odd, the middle value is returned.  When it is even, the larger of
@@ -272,7 +272,7 @@
 
    Return the median of grouped continuous data, calculated as the 50th
    percentile, using interpolation.  If *data* is empty, :exc:`StatisticsError`
-   is raised.  *data* can be a sequence or iterator.
+   is raised.  *data* can be a sequence or iterable.
 
    .. doctest::
 
@@ -381,7 +381,7 @@
 
 .. function:: pvariance(data, mu=None)
 
-   Return the population variance of *data*, a non-empty sequence or iterator
+   Return the population variance of *data*, a non-empty sequence or iterable
    of real-valued numbers.  Variance, or second moment about the mean, is a
    measure of the variability (spread or dispersion) of data.  A large
    variance indicates that the data is spread out; a small variance indicates
diff --git a/Lib/statistics.py b/Lib/statistics.py
index 461ffae..1e95c0b 100644
--- a/Lib/statistics.py
+++ b/Lib/statistics.py
@@ -744,7 +744,7 @@
 def pvariance(data, mu=None):
     """Return the population variance of ``data``.
 
-    data should be a sequence or iterator of Real-valued numbers, with at least one
+    data should be a sequence or iterable of Real-valued numbers, with at least one
     value. The optional argument mu, if given, should be the mean of
     the data. If it is missing or None, the mean is automatically calculated.