Update app.py

app.py

@@ -61,7 +61,7 @@ checking the frequency in list we come across a situtaion where we will find two
 st.markdown(''':violet[Tri_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,2,2,3,3,4,5]. here by
 checking the frequency in list we come across a situtaion where we will find three maximun frequecy repeated value hence the output will be Tri_Mode.
 ''')
-st.markdown(''':violet[Bi_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,2,2,3,3,4,4,5]. here by
+    st.markdown(''':violet[Multi_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,2,2,3,3,4,4,5]. here by
 checking the frequency in list we come across a situtaion where we will find more than three maximun frequecy repeated value hence the output will be Multi_Mode.
 ''')
 def mode(*args):
@@ -99,4 +99,15 @@ if numbers_input:
         # Display the result
         st.write("Mode result:", result)
     except ValueError:
-        st.write("Please enter a valid list of numbers separated by commas.")
+        st.write("Please enter a valid list of numbers separated by commas.")
+st.subheader("Median",divider=True)
+st.markdown("""Median will also be giving the central tendency.But the major drawback of median is it prior foucus will be on the central value.
+In order to find the mean first we have to sort the give list and based on the length of the list the formula are changed""")
+st.subheader("Median Formula for Odd Number of Observations")
+st.latex(r'''
+\text{Median} = X_{\left(\frac{n+1}{2}\right)}
+''')
+st.subheader("Median Formula for Even Number of Observations")
+st.latex(r'''
+\text{Median} = \frac{X_{\left(\frac{n}{2}\right)} + X_{\left(\frac{n}{2}+1\right)}}{2}
+''')