Update pages/2_INTRODUCTION TO STATISTICS.py

pages/2_INTRODUCTION TO STATISTICS.py

@@ -51,41 +51,3 @@ graph.edge("Descriptive Statistics","Distribution")
 st.graphviz_chart(graph)
 
 st.markdown(multi)
-st.subheader("Measures of Central Tendency")
-st.write("These are the measures that finds the central or average value of Data.")
-st.write("These mainly include Mean , Median and mode")
-st.markdown("**MODE**")
-st.write("Mode mainly states about the occurences of particular value.")
-st.write("Mode is of many types like, 0 modes,uni mode Bi-mode, Tri-modes and multi-modes.")
-st.write("**The main disadvantage of mode is**")
-st.write("Due to its dependency on frequency , sometimes we can calculate mode and sometimes we cannot.")
-st.markdown("**MEDIAN**")
-st.write("""Median is mainly used to give precise central value
-This process maily consists of sorting the data and then finding the central value.""")
-st.write("**The main disadvantage of median is**")
-st.write("Its complete concentration will be on the central value and sorting takes time")
-st.markdown("***Both median and mode will not consider all the observations so we wont opt to these measure mostly.***" )
-st.markdown("**MEAN**")
-st.write("Mean is the average value of our whole dataset. It is the mostly used measure to find the central tendency.")
-st.write("Mean can be given by ratio of sum of all observations and total number of observations")
-st.write("""Mean is of 3 types :
-1.Arithematic mean
-2.Geometric mean
-3.Harmonic mean""")
-st.subheader("Measures of Dispersion/Variablity")
-st.write("These are the measures to find how our data is spread or organised around the central value.")
-st.write("Measures of Dispersion are of two types namely, Absolute and Relative")
-st.subheader("Absolute")
-st.write("Absolute value is a single value that describes the spread. This has units.")
-st.write('''Absolute measures are further divided into:
-**Range** : we use range when we are given with minimum and maximum values.
-**Quartile Deviation** : we use this when a list is given and we must split them with equal intervals.
-**Variance** : we use this when we need to find the spread using mean.
-**Standard Deviation** : It is the root value of variance, this is the most used measure as it gives accurate spread.''')
-st.subheader("Relative")
-st.write("Relative measure  is used when we have different type of data and we need to find its relation. This doesnot have units.")
-st.write('''Relative measures are further divided into:
-**Coefficient of Range** 
-**Coefficient of Quartile Deviation**
-**Coefficient of Variance** : We use this in most of times, its main function is to know about the consistency in data.When data has high variance it has less consistency
-**Coefficient of Standard Deviation** ''')