Cumulative frequency analysis is like counting how many times you have done something. Imagine if you have a box of candies, and you want to know how many candies you have eaten so far. Every time you eat a candy, you add one to the total number. This is like keeping a record of how many candies you have eaten.
Now, let's say you want to know how many candies you ate in the first hour compared to how many you ate in the second hour. You can start by putting all the candies you ate in the first hour in one pile and all the candies you ate in the second hour in another pile. Then, you count how many candies are in each pile. This is like separating the candies based on when you ate them.
But what if you want to know how many candies you ate in the first hour compared to how many you ate in the second hour and the third hour combined? This is where cumulative frequency analysis comes in.
You start by putting all the candies you ate in the first hour in the first pile, then you add the candies you ate in the second hour to that pile, and then the candies you ate in the third hour to the same pile. This is like combining all the candies you ate in the second and third hours and adding them to the pile with the candies from the first hour.
Now you have a new pile with all the candies you ate in the first, second, and third hours combined. This is your cumulative frequency. You can keep adding candies to this pile every hour to see how many candies you have eaten in total up until that point.
Cumulative frequency analysis is like keeping a running count of something, and it can help you see patterns and trends over time.