import streamlit as st
import numpy as np
import pandas as pd

st.title("**Introduction to Statistics**")
st.subheader(":blue[What is statistics ?]")
st.write("statistics is a huge field where in this field we are going to deal with data like ( how to perform collecting data,interpreting data, analyzing data,structuring data).")

st.subheader(":blue[**Types of Statistics**]")
st.write("There are two types of statistcs.")
st.image("https://miro.medium.com/v2/resize:fit:693/1*9xosnP5yQYOmbR9N3Rzv9g.png", caption="Types of Statistics")

st.subheader(":blue[**1. Descriptive Statistics**]")
st.write("Descriptive statistics involves describing,summarizing and organizing the data so it can be easily understood.example- classroom of maths students (20).marks of the first sem (84,86,78,72,75,65,80,81,45,87,67,54).whar is the average marks of the students in the class?")

st.subheader(":blue[**Population**]")
st.write("**Population** - Population data is a whole and complete set.The measurable characteristic of the population, like the mean or standard deviation, is known as the parameter.")

st.subheader(":blue[**Sample**]")
st.write("**Sample** - The sample is a subset of the population that is derived using sampling.The measurable characteristic of the sample is called a statistic.")

st.subheader(":blue[**2. Inferential Statistcs**]")
st.write("Inferential statistics - Inferential statistics involves drawing conclusions and makingpredictions about a population based on a sample of data. ")
st.image("population.jpg")