Update app.py

app.py

@@ -284,8 +284,8 @@ def bootstrap_stats(bound_data, num_samples=1000):
         bootstrapped_means.append(np.mean(bootstrap_sample))
 
     # Calculate lower and higher bounds
-    lower_bound = np.percentile(bootstrapped_means, 25.)
-    higher_bound = np.percentile(bootstrapped_means, 75.)
+    lower_bound = np.percentile(bootstrapped_means, 16.)
+    higher_bound = np.percentile(bootstrapped_means, 84.)
 
     return lower_bound, higher_bound