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| author | Raymond Hettinger <python@rcn.com> | 2016-10-20 08:36:52 (GMT) |
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| committer | Raymond Hettinger <python@rcn.com> | 2016-10-20 08:36:52 (GMT) |
| commit | 24f33b5bb5dc51831522f7573b16fa66869f7b3b (patch) | |
| tree | 7d7078d4e399440aa3d001123e11c7bc1633f316 /Doc | |
| parent | 812f6e1f234f5a601202e81c78f7b172fe9a263a (diff) | |
| download | cpython-24f33b5bb5dc51831522f7573b16fa66869f7b3b.zip cpython-24f33b5bb5dc51831522f7573b16fa66869f7b3b.tar.gz cpython-24f33b5bb5dc51831522f7573b16fa66869f7b3b.tar.bz2 | |
Add cum_weights example (simulation of a cumulative binomial distribution).
Diffstat (limited to 'Doc')
| -rw-r--r-- | Doc/library/random.rst | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst index a47ed9c..edf76d7 100644 --- a/Doc/library/random.rst +++ b/Doc/library/random.rst @@ -351,6 +351,13 @@ Basic usage:: >>> choices(['red', 'black', 'green'], [18, 18, 2], k=6) ['red', 'green', 'black', 'black', 'red', 'black'] + # Probability of getting 5 or more heads from 7 spins of a biased coin + # that settles on heads 60% of the time. + >>> n = 10000 + >>> cw = [0.60, 1.00] + >>> sum(choices('HT', cum_weights=cw, k=7).count('H') >= 5 for i in range(n)) / n + 0.4169 + Example of `statistical bootstrapping <https://en.wikipedia.org/wiki/Bootstrapping_(statistics)>`_ using resampling with replacement to estimate a confidence interval for the mean of a small |