From 40e73d3bec822bc0fa28b2980000c7432c81e2b8 Mon Sep 17 00:00:00 2001
From: Michael Norrish <michael.norrish@data61.csiro.au>
Date: Fri, 12 Jun 2020 16:10:45 +1000
Subject: [PATCH] Correct misspelling of Chebyshev

---
 Manual/Description/math.stex | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Manual/Description/math.stex b/Manual/Description/math.stex
index 19ab3d4900..d23bc667b8 100644
--- a/Manual/Description/math.stex
+++ b/Manual/Description/math.stex
@@ -1134,7 +1134,7 @@ $(S_n - \mathscr{E}(S_n))/n$ converges to 0, in probability
 (weak law) or almost everywhere (strong law).
 
 For uncorrelated r.v.'s with a common bound of variance, the proof is
-simple and based on Markov and Chebeshev's inequalities. The centered
+simple and based on Markov's and Chebyshev's inequalities. The centered
 average actually converges to 0 in $L^2$, thus also in
 probability~\cite[108]{Chung:2001}.
 Under the same hypotheses it also converges to 0 almost everywhere: