diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..13566b8
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
new file mode 100644
index 0000000..89d8a5d
--- /dev/null
+++ b/.idea/inspectionProfiles/Project_Default.xml
@@ -0,0 +1,11 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="DuplicatedCode" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <Languages>
+        <language minSize="81" name="Python" />
+      </Languages>
+    </inspection_tool>
+    <inspection_tool class="LanguageDetectionInspection" enabled="false" level="WARNING" enabled_by_default="false" />
+  </profile>
+</component>
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..94a25f7
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/solution.py b/solution.py
index dfb29b1..916a755 100644
--- a/solution.py
+++ b/solution.py
@@ -4,12 +4,16 @@
 from scipy.stats import norm
 
 
-chat_id = 123456 # Ваш chat ID, не меняйте название переменной
+chat_id = 680977959 # Ваш chat ID, не меняйте название переменной
 
 def solution(p: float, x: np.array) -> tuple:
     # Измените код этой функции
     # Это будет вашим решением
     # Не меняйте название функции и её аргументы
-    alpha = 1 - p
-    return x.mean() - np.sqrt(np.var(x)) * norm.ppf(1 - alpha / 2) / np.sqrt(len(x)), \
-           x.mean() - np.sqrt(np.var(x)) * norm.ppf(alpha / 2) / np.sqrt(len(x))
+    alpha = (1 + p) / 2
+    n = len(x)
+    xx = x * x
+    k = n / (25 * sum(xx))
+    fp = norm.ppf(alpha)
+
+    return k / (1 + fp), k / (1 - fp)