Kolmogorov–Smirnov test
The Kolmogorov-Smirnov test is like checking if two toys are the same by looking at how much they are alike. Imagine that you have two toys - one is your favorite toy, and the other is a toy that looks just like your favorite toy but is a bit different. You want to figure out if the two toys are really the same or not.
So, you get a ruler and measure how long each toy is. Then, you compare the lengths to see if they are really the same. The Kolmogorov-Smirnov test works the same way. Instead of toys, we have two sets of data - like how many cookies were sold in one store and how many were sold in another store.
The test checks how similar the two sets of data are by looking at the differences between them. It checks if they have similar patterns, like if both stores sold more cookies at certain times of the day. The test tells us if the sets of data are the same or if they are different.
So, just like how you decide if your toys are the same by measuring and comparing them, we use the Kolmogorov-Smirnov test to measure and compare different sets of data to see if they are really the same or not.
So, you get a ruler and measure how long each toy is. Then, you compare the lengths to see if they are really the same. The Kolmogorov-Smirnov test works the same way. Instead of toys, we have two sets of data - like how many cookies were sold in one store and how many were sold in another store.
The test checks how similar the two sets of data are by looking at the differences between them. It checks if they have similar patterns, like if both stores sold more cookies at certain times of the day. The test tells us if the sets of data are the same or if they are different.
So, just like how you decide if your toys are the same by measuring and comparing them, we use the Kolmogorov-Smirnov test to measure and compare different sets of data to see if they are really the same or not.