Update app.py

app.py

@@ -25,8 +25,21 @@ st.write("Population data is exact information of data while sample data may hav
 st.write("Ex: We want to collect information about people in the world who are in data science/data analysis domain and who have completed")
 st.write("*Measure of sample data is basically known as *Statistics**")
 st.write("*Measure of population data is known as *Parameters**")
-st.subheader("Based on the descriptive statistics which are predefined based on measures .They are **1.Measures of central tendency** /n **2.Measures of dispersion(variability)** /n **3.Measures of distribution**")
-
-
-
-
+st.subheader("Types of descriptive statistics")
+st.write("Based on the descriptive statistics which are predefined based on measures .They are **1.Measures of central tendency** /n **2.Measures of dispersion(variability)** /n **3.Measures of distribution**")
+st.subheader("***Measures of central tendency***")
+st.write("It is used to measure the central value or average value of the collected data")
+st.write("There are 3 measures in central tendency")
+st.subheader("*1.Mean* /n *2.Median* /n *3.Mode*")
+st.write("Mode is defined as the data or value which is frequently repeated mostly used for categorical data")
+st.write("Median is it gives precise central value of the data used only in ordered data which considers only central values")
+st.write("Mean uses all the observations in the data mostly for measuring the central tendency mean is used for exact central value")
+st.write("***Mean >> Median >> Mode***")
+st.subheader("***Measures of dispersion(variability)***")
+st.write("It is used to measure how your collected data is spreaded or dispersed around the cantral value")
+st.write("There are 2 measures in dispersion")
+st.subheader("*1.Absolute dispersion* /n *2.Relative dispersion*")
+st.write("There are four types in absolute dispersion")
+st.write("*1.Range* /n *2.Quartile deviation* /n *3.Variance* /n *4.Standard deviation*")
+st.write("There are four types in relative dispersion")
+st.write("*1.Coefficient of range* /n *2.Coefficient of Quartile deviation* /n *3.Coefficient of Variance* /n *4.Coefficient of Standard deviation*")