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-rw-r--r--source/know/concept/binomial-distribution/index.md7
1 files changed, 4 insertions, 3 deletions
diff --git a/source/know/concept/binomial-distribution/index.md b/source/know/concept/binomial-distribution/index.md
index c25da3d..14ba4cb 100644
--- a/source/know/concept/binomial-distribution/index.md
+++ b/source/know/concept/binomial-distribution/index.md
@@ -1,5 +1,6 @@
---
title: "Binomial distribution"
+sort_title: "Binomial distribution"
date: 2021-02-26
categories:
- Statistics
@@ -46,7 +47,7 @@ $$\begin{aligned}
<div class="accordion">
<input type="checkbox" id="proof-mean"/>
<label for="proof-mean">Proof</label>
-<div class="hidden">
+<div class="hidden" markdown="1">
<label for="proof-mean">Proof.</label>
The trick is to treat $p$ and $q$ as independent until the last moment:
@@ -76,7 +77,7 @@ $$\begin{aligned}
<div class="accordion">
<input type="checkbox" id="proof-var"/>
<label for="proof-var">Proof</label>
-<div class="hidden">
+<div class="hidden" markdown="1">
<label for="proof-var">Proof.</label>
We use the same trick to calculate $\overline{n^2}$
(the mean squared number of successes):
@@ -121,7 +122,7 @@ $$\begin{aligned}
<div class="accordion">
<input type="checkbox" id="proof-normal"/>
<label for="proof-normal">Proof</label>
-<div class="hidden">
+<div class="hidden" markdown="1">
<label for="proof-normal">Proof.</label>
We take the Taylor expansion of $\ln\!\big(P_N(n)\big)$
around the mean $\mu = Np$: