From 8509874cf72ca19581ea797857fc5cc36e144c19 Mon Sep 17 00:00:00 2001
From: avahoffman <avamariehoffman@gmail.com>
Date: Sat, 28 Jun 2025 12:13:36 -0400
Subject: [PATCH 1/2] Update Statistics.Rmd

---
 modules/Statistics/Statistics.Rmd | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/modules/Statistics/Statistics.Rmd b/modules/Statistics/Statistics.Rmd
index e8ceff25..a26537f9 100644
--- a/modules/Statistics/Statistics.Rmd
+++ b/modules/Statistics/Statistics.Rmd
@@ -736,5 +736,30 @@ knitr::include_graphics(here::here("images/the-end-g23b994289_1280.jpg"))
 
 Image by <a href="https://pixabay.com/users/geralt-9301/?utm_source=link-attribution&amp;utm_medium=referral&amp;utm_campaign=image&amp;utm_content=812226">Gerd Altmann</a> from <a href="https://pixabay.com//?utm_source=link-attribution&amp;utm_medium=referral&amp;utm_campaign=image&amp;utm_content=812226">Pixabay</a>
 
+# Extra Slides
+
+## Wilcoxon Test
+
+The Wilcoxon test is a good alternative to the t-test when the normal distribution of the differences between paired individuals cannot be assumed.
+
+`wilcox.test(x, y, ..)`
+
+- Like t-test, provide one or two vectors (x, y)
+- Choose from `alternative = c("two.sided", "less", "greater")`
+- Use `paired = TRUE` for paired values (e.g., before and after)
+
+## Shapiro Test
+
+Can tell you if a vector is normally distributed. 
+
+`shapiro.test(x)`
+
+The smaller the p-value, the more likely the data violates normality assumptions.
+
+
+- `ks.test()` -- Kolmogorov-Smirnov test
+- `var.test()`-- Fisher’s F-Test
+- `chisq.test()` -- Chi-squared test
+- `aov()` -- Analysis of Variance (ANOVA)
 
 

From f1724486a49c1910dcfc225fe5d4ac36f25891b1 Mon Sep 17 00:00:00 2001
From: avahoffman <avamariehoffman@gmail.com>
Date: Sat, 28 Jun 2025 12:14:39 -0400
Subject: [PATCH 2/2] Scaffold other tests

---
 modules/Statistics/Statistics.Rmd | 18 ++++++++++++++----
 1 file changed, 14 insertions(+), 4 deletions(-)

diff --git a/modules/Statistics/Statistics.Rmd b/modules/Statistics/Statistics.Rmd
index a26537f9..84232150 100644
--- a/modules/Statistics/Statistics.Rmd
+++ b/modules/Statistics/Statistics.Rmd
@@ -756,10 +756,20 @@ Can tell you if a vector is normally distributed.
 
 The smaller the p-value, the more likely the data violates normality assumptions.
 
+## Kolmogorov-Smirnov test
 
-- `ks.test()` -- Kolmogorov-Smirnov test
-- `var.test()`-- Fisher’s F-Test
-- `chisq.test()` -- Chi-squared test
-- `aov()` -- Analysis of Variance (ANOVA)
+`ks.test()`
+
+## Fisher’s F-Test
+
+`var.test()`
+
+## Chi-squared test
+
+`chisq.test()`
+
+## Analysis of Variance (ANOVA)
+
+`aov()`