From c429a439bfd70363d8e0058dc0abbbd10bff09a1 Mon Sep 17 00:00:00 2001
From: Julian Lange <32773007+langejulian@users.noreply.github.com>
Date: Mon, 9 Sep 2024 04:05:04 +0200
Subject: [PATCH] Update check-power.qmd (attempt to fix numbered task list yet
 again)

---
 tutorial_pages/check-power.qmd | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/tutorial_pages/check-power.qmd b/tutorial_pages/check-power.qmd
index 916cb6b..68f645a 100644
--- a/tutorial_pages/check-power.qmd
+++ b/tutorial_pages/check-power.qmd
@@ -32,13 +32,11 @@ If we sample values from two normal distributions with different means (e.g. N(0
 ***
 
 **YOUR TURN:**  
-1. Use your simulation skills to work out the power through simulation. Write a function that does the following: 
-
-    i) Draws `n` values from a random normal distribution with `mean1` and another `n` values from a normal distribution with `mean2`.
-    ii) Compares the means of these two samples with a *t*-test and extracts the *p*-value.
-
-2. Replicate the function 1000 times using the parameters used in the power calculation above (that used the `power.t.test()` function).
-3. Calculate the proportion of *p*-values that are smaller than 0.05.
+1.  Use your simulation skills to work out the power through simulation. Write a function that does the following:
+    i.  Draws `n` values from a random normal distribution with `mean1` and another `n` values from a normal distribution with `mean2`.
+    ii. Compares the means of these two samples with a *t*-test and extracts the *p*-value.
+2.  Replicate the function 1000 times using the parameters used in the power calculation above (that used the `power.t.test()` function).
+3.  Calculate the proportion of *p*-values that are smaller than 0.05.
 
 ***