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| 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.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.write("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.write("this 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("1.Measures of central tendency") | |
| st.markdown("2.Measures of variability(despersion)") | |
| st.markdown("3.distribution") | |
| st.subheader("1.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,") | |
| st.markdown("**1.Arithmetic Mean**") | |
| st.markdown("**2.Geometric Mean**") | |
| st.markdown("**3.HarmonicMean**") | |
| st.markdown("**4.Median**") | |
| st.markdown("**5.Mode**") | |
| st.subheader("Measures of variability") | |
| st.write("This measure is used to measure how the collected data is spreding or dispersing around the central value.The measures which are used to measure the dispersion are,") | |
| st.write("Measures of variability are classified into two types:") | |
| st.subheader("**1.Absolute**") | |
| st.write("a.Range") | |
| st.write("b.Quartile deviation") | |
| st.write("c.Variance") | |
| st.write("d.Standard deviation") | |
| st.subheader("**2.Relative**") | |
| st.write("a.Co-efficient of Range") | |
| st.write("b.Co-efficient of Quartile deviation") | |
| st.write("c.Co-efficient of Variance") | |
| st.write("d.Co-efficient of Standard deviation") | |
| st.write("THE END") |