Rename pages/Measurement_of_Central_Tendency.py to pages/5_Measurement_of_Central_Tendency.py

pages/{Measurement_of_Central_Tendency.py → 5_Measurement_of_Central_Tendency.py}

@@ -157,4 +157,41 @@ if numbers_input:
     result = median(numbers_input)
     st.write("Median result:", result)
 else:
-    st.write("No valid numbers provided.")
+    st.write("No valid numbers provided.")
+st.subheader("Mean")
+st.markdown("""
+Mean is one of the beautiful measurement of central tendency it invovles all the data present in it.The only drawback of mean is it is 
+effected by outliers.Based on the data we will compute the mean in three types""",unsafe_allow_html=True)
+st.subheader("Arthmetic Mean")
+st.markdown("""Arthmetic Mean is used on data which have 
+<ul class=icon-bullet>
+<li>Interval and Ratio Data </li>
+<li>Symmetric Distributions </li>
+<li>Data Without Outliers</li>
+</ul>
+""",unsafe_allow_html=True)
+st.subheader("Population Mean Formula")
+st.latex(r'''
+    \mu = \frac{1}{N} \sum_{i=1}^{N} x_i
+''')
+st.subheader("Sample Mean Formula")
+st.latex(r'''
+    \bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i
+''')
+def arthamatic_mean(list1):
+  sum=reduce(lambda x,y: x+y,list1)
+  return sum/len(list1)
+st.title("Calculate Arthmetic_Mean")
+numbers_input_2 = st.text_input("Enter a list of numbers separated by commas (e.g., 1, 2, 3, 4, 5):", key="numbers_input_2")
+if numbers_input_2:
+    parts=numbers_input_2.split(",")
+    list1=[]
+    for i in parts:
+        i = i.strip()
+        if i.isdigit():
+            list1.append(int(i))
+    if list1:
+        result=arthamatic_mean(list1)
+        st.write("Arthmetic_Mean",result)
+    else:
+        st.write("No valid numbers provided.")