Update pages/Measurement_of_Central_Tendency.py

pages/Measurement_of_Central_Tendency.py

@@ -83,4 +83,16 @@ st.markdown("""Mode will be giving the centeral tendency based on most frequentl
 mostly focus on the data which is occuring most times.Here in this mode we might come across some situation's like """,unsafe_allow_html=True)
 st.markdown(''':violet[No_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,2,3,4,5] here we don't have 
 frequency of numbers repeating in this senario we will come accross No_Mode situaton.
+''',unsafe_allow_html=True)
+st.markdown(''':violet[Uni_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,1,2,3,4,5]. here by 
+checking the list it will tend to know that the frequency of number 1 is more and it returns the value 1 as output.
+''',unsafe_allow_html=True)
+st.markdown(''':violet[Bi_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,2,2,3,4,5]. here by
+checking the frequency in list we come across a situtaion where we will find two maximun frequecy repeated value hence the output will be Bi_Mode.
+''',unsafe_allow_html=True)
+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.
+''',unsafe_allow_html=True)
+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.
 ''',unsafe_allow_html=True)