In real life, Chi-Squared tests using contingency tables are useful for looking at how different categories relate to each other.
Marketing Analysis: If you want to find out if people of different ages prefer different products, you could make a table that shows what each age group chooses.
Medical Research: If doctors want to see how different treatments affect recovery for various types of patients, they can use this test to look at the connection.
Sociological Studies: Researchers might study how education levels link to job status in different communities.
These tests help us see important connections and better understand trends.
In real life, Chi-Squared tests using contingency tables are useful for looking at how different categories relate to each other.
Marketing Analysis: If you want to find out if people of different ages prefer different products, you could make a table that shows what each age group chooses.
Medical Research: If doctors want to see how different treatments affect recovery for various types of patients, they can use this test to look at the connection.
Sociological Studies: Researchers might study how education levels link to job status in different communities.
These tests help us see important connections and better understand trends.