From 30f493c7fe7565c0cf575c493b4b829adfc8dbf1 Mon Sep 17 00:00:00 2001
From: Tijana Zrnic <35438666+tijana-zrnic@users.noreply.github.com>
Date: Sat, 30 Sep 2023 22:52:53 -0700
Subject: [PATCH] minor

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 9c90e95..c5de227 100644
--- a/README.md
+++ b/README.md
@@ -30,9 +30,9 @@ The gold-standard labels and model predictions from the dataset will be download
 The labels, $Y$, are binary indicators of whether or not the galaxy is a spiral galaxy.
 The model predictions, $\hat{Y}$, are the model's estimated probability of whether the galaxy image has spiral arms.
 The inference target is $\theta^* = \mathbb{E}[Y]$, the fraction of spiral galaxies.
-You will produce a confidence interval, $\mathcal{C}^{\mathrm{PP}}_\alpha$, which contains $\theta^*$ with probability $1-\alpha=90\%$, i.e.,
+You will produce a confidence interval, $\mathcal{C}^{\mathrm{PP}}_\alpha$, which contains $\theta^*$ with probability $1-\alpha=0.9$, i.e.,
 ```math
-    \mathbb{P}\left( \theta^* \in \mathcal{C}^{\mathrm{PP}}_\alpha\right) \geq 90\%.
+    \mathbb{P}\left( \theta^* \in \mathcal{C}^{\mathrm{PP}}_\alpha\right) \geq 0.9.
 ```
 
 The code for this is below. It can be copy-pasted directly into the Python REPL.