diff options
| author | Matti Picus <matti.picus@gmail.com> | 2019-04-08 15:53:19 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-04-08 15:53:19 +0300 |
| commit | 497a00e914bfb98c0093354390f14d3843a33daa (patch) | |
| tree | 9a5c41c3f167e26ee2aa75d2d7fb28c111b6edc9 | |
| parent | 4a3396322d7f73d77d4d229c78410e7b808738a5 (diff) | |
| parent | c62ee1bbe70c113e2b019bb298ff8ec90d0d6cf6 (diff) | |
| download | numpy-497a00e914bfb98c0093354390f14d3843a33daa.tar.gz | |
Merge pull request #13259 from spacescientist/master
DOC: Small readability improvement in random.binomial
| -rw-r--r-- | numpy/random/mtrand/mtrand.pyx | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx index 24826d52d..c97c166aa 100644 --- a/numpy/random/mtrand/mtrand.pyx +++ b/numpy/random/mtrand/mtrand.pyx @@ -3779,8 +3779,8 @@ cdef class RandomState: product p*n <=5, where p = population proportion estimate, and n = number of samples, in which case the binomial distribution is used instead. For example, a sample of 15 people shows 4 who are left - handed, and 11 who are right handed. Then p = 4/15 = 27%. 0.27*15 = 4, - so the binomial distribution should be used in this case. + handed, and 11 who are right handed. Then p = 4/15 = 27%. Since + 0.27*15 = 4, the binomial distribution should be used in this case. References ---------- |