[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105: Revamp simulations docs 11

[jb...@apache.org]

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jbernste pushed a commit to branch SOLR-13105-visual
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git


The following commit(s) were added to refs/heads/SOLR-13105-visual by this push:
     new 096723f  SOLR-13105: Revamp simulations docs 11
096723f is described below

commit 096723f943370960a84b3fa5efba08cc6a016552
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Tue Sep 3 21:48:22 2019 -0400

    SOLR-13105: Revamp simulations docs 11
---
 solr/solr-ref-guide/src/simulations.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/solr/solr-ref-guide/src/simulations.adoc b/solr/solr-ref-guide/src/simulations.adoc
index 781c992..18ec6fd 100644
--- a/solr/solr-ref-guide/src/simulations.adoc
+++ b/solr/solr-ref-guide/src/simulations.adoc
@@ -42,7 +42,7 @@ below zero. Some days the stock is up, some days its down, but there
 does not seem to be a noticeable pattern or any dependency between steps. This is a hint
 that this is a *random time series*.
 
-=== Auto Correlation
+=== Autocorrelation
 
 Autocorrelation measures the degree to which a signal is correlated with itself.
  Autocorrelation can be used to determine
@@ -114,7 +114,7 @@ Now that we have fit a distribution to the daily stock return data we can use th
 The `monteCarlo` function runs a specified number of times. On each run it sets
 a series of variables and runs one final function which returns a single numeric value. The
 monteCarlo function collects the results of each run in a vector and returns it.
-The final function run typically has one or more variables that are drawn from probability
+The final function typically has one or more variables that are drawn from probability
 distributions on each run. The `sample` function is used to draw the samples.
 
 The simulation's result array can then be treated as an empirical distribution to understand