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authorRaymond Hettinger <rhettinger@users.noreply.github.com>2021-02-08 00:44:42 (GMT)
committerGitHub <noreply@github.com>2021-02-08 00:44:42 (GMT)
commit30a8b2839646c849371c7f8411132571cd8bf17c (patch)
tree9d72d4de0e23a2677b363efe6a16747c00ce70a0 /Lib
parent206cbdab16cb054e859597a562e2f6ab35e99766 (diff)
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bpo-43147: Remove archaic terminology. (GH-24462)
Diffstat (limited to 'Lib')
-rw-r--r--Lib/statistics.py7
1 files changed, 3 insertions, 4 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py
index 4b054b9..2414869 100644
--- a/Lib/statistics.py
+++ b/Lib/statistics.py
@@ -367,10 +367,9 @@ def geometric_mean(data):
def harmonic_mean(data, weights=None):
"""Return the harmonic mean of data.
- The harmonic mean, sometimes called the subcontrary mean, is the
- reciprocal of the arithmetic mean of the reciprocals of the data,
- and is often appropriate when averaging quantities which are rates
- or ratios, for example speeds.
+ The harmonic mean is the reciprocal of the arithmetic mean of the
+ reciprocals of the data. It can be used for averaging ratios or
+ rates, for example speeds.
Suppose a car travels 40 km/hr for 5 km and then speeds-up to
60 km/hr for another 5 km. What is the average speed?