From 85eedd4e2b31171cb6de4a56ecffcd7794587462 Mon Sep 17 00:00:00 2001
From: pallavisprabhu <pallaviprabhu@Pallavis-Laptop.local>
Date: Tue, 3 Dec 2024 14:15:29 -0800
Subject: [PATCH] su24 final fix

---
 docs/su24-final/index.html | 4 ++--
 problems/su24-final/q07.md | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/su24-final/index.html b/docs/su24-final/index.html
index b02478b..df92d8b 100644
--- a/docs/su24-final/index.html
+++ b/docs/su24-final/index.html
@@ -1716,7 +1716,7 @@ <h3 id="problem-7.3">Problem 7.3</h3>
 class="sourceCode py"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>    p_value <span class="op">=</span> np.mean(simulated_stats ___ observed_statistic)</span></code></pre></div>
 <ul class="task-list">
 <li><p><input type="radio" disabled="" /> &gt;</p></li>
-<li><p><input type="radio" disabled="" /> =</p></li>
+<li><p><input type="radio" disabled="" /> &gt;=</p></li>
 <li><p><input type="radio" disabled="" /> &lt;</p></li>
 <li><p><input type="radio" disabled="" /> &lt;=</p></li>
 <li><p><input type="radio" disabled="" /> =</p></li>
@@ -1734,7 +1734,7 @@ <h2 class="accordion-header" id="heading7_3">
 <header id="title-block-header">
 <h1 class="title"> </h1>
 </header>
-<p><strong>Answer:</strong> <span class="math inline">&gt;=</span></p>
+<p><strong>Answer:</strong> &gt;=</p>
 <p>Recall the p-value is the probability of seeing a result equal to or
 more extreme than the observed value under the null hypothesis. Since
 the TVD is our test statistic where greater values indicate a result
diff --git a/problems/su24-final/q07.md b/problems/su24-final/q07.md
index c45b362..e22ab81 100644
--- a/problems/su24-final/q07.md
+++ b/problems/su24-final/q07.md
@@ -90,13 +90,13 @@ the correct p-value for this hypothesis test:
 ```
 
 ( ) \>
-( ) >=
+( ) \>=
 ( ) <
 ( ) <=
 ( ) =
 
 # BEGIN SOLUTION
-**Answer:** $>=$
+**Answer:** \>=
 
 Recall the p-value is the probability of seeing a result equal to or more extreme than the observed value under the null hypothesis. Since the TVD is our test statistic where greater values indicate a result more extreme that means we want to use $>=$ in the blank to check whether the simulated statistic is equal to or more extreme than the observed statistic.