Update app.py

app.py

@@ -2,10 +2,50 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 st.header("INTRODCTION TO STATISTICS")
+
 st.subheader("understanding statistics")
+
 st.write("it is a huge field where we are going to deal with data. Mostly we are dealing with *data* in 4-ways. statistics is a mathematical operation uses and the study of collecting data, analysing, interpeting,presenting,and organizing data")
-st.subheader("Types of statistics")
-st.write("there are mainly 2 type of statistics\n")
-st.markdown("1.discriptive statistics")
-st.markdown("2.inferencial statistics")
 
+st.header("Types of statistics")
+
+st.write("there are mainly 2 type of statistics")
+
+st.markdown("red[1.discriptive statistics]")
+
+st.markdown("blue[2.inferencial statistics]")
+
+st.subheader("1.Descriptive statistics:")
+
+st.markdown("So basically in this type we describe the data and helps to describe and summarize in terms of population or sample. population referes to compleate data whereas the sample leads to a sub part of the population.
+
+population: The population referes to compleate data . The outcome is called as parameter.
+
+sample : small amount of population is called sample. The outcome is called statistics")
+
+st.subheader("2. Inferencial Statistics:") 
+
+st.markdown("t refers to understanding of the data and draw conclusions based on analysing on a sample data of the population.")     
+            
+st.subheader("descriptive statistics are mainly divided into three types:")
+
+st.markdown("Measures of central tendency")
+            
+st.markdown("Measures of variability(despersion)")
+            
+st.markdown("distribution")
+            
+st.header("Measures of central tendency")
+            
+st.write("This measure is used to calculate the central or average value of the data.The measures which are used to calculate central tendency are,
+
+1.Arithmetic Mean
+
+2.Geometric Mean
+
+3.Harmonic Mean
+
+4.Median
+
+5.Mode")  
+