Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import pandas as pd
 import numpy as np
+
 st.header("INTRODCTION TO STATISTICS")
 
 st.subheader("understanding statistics")
@@ -17,15 +18,15 @@ st.markdown("blue[2.inferencial statistics]")
 
 st.subheader("1.Descriptive statistics:")
 
-st.multi=("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.
+multi=("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.")
 
 st.markdown("-  population: The population referes to compleate data . The outcome is called as parameter.")
 
 st.markdown("- sample : small amount of population is called sample. The outcome is called statistics")
 
-st.subheader("2. Inferencial Statistics:") 
+st.subheader("2. Inferencial Statistics:")
 
-st.multi=("t refers to understanding of the data and draw conclusions based on analysing on a sample data of the population.")     
+multi=("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:")
 
@@ -37,7 +38,7 @@ st.markdown("distribution")
             
 st.header("Measures of central tendency")
             
-st.multi=("This measure is used to calculate the central or average value of the data.The measures which are used to calculate central tendency are,
+multi=("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