Weighted median

Imagine you have a bunch of toys, and you want to find the most popular toy among your friends. You could simply count how many of each toy there are, but some of your friends might have more sway than others in picking which toy to play with.

Weighted median takes this into account - it's like finding the "boss" toy that is most popular but also takes into account the most important opinions.

To do this, you assign each of your friends a "weight", which is like a number that shows how important their opinion is. For example, your best friend who always knows the coolest toys might get a weight of 5, while a friend you only see sometimes might get a weight of 1.

Then you line up all the toys from least to most popular, and you start counting the weights. When you reach the middle of the toys, you stop and that toy is the weighted median.

So the weighted median is like finding the most popular toy among your friends, but with extra attention to the importance of each friend's opinion.