Trimmed estimator

Okay kiddo, imagine you and your friends play a game where you throw balls into a basket. Sometimes one of your friends throws the ball very badly and it goes nowhere near the basket. If you count that throw too, it will make your score worse even though you did great.

Similarly, when we look at data (numbers), sometimes there are numbers that are much bigger or much smaller than the others. These are called outliers, and they can mess up the whole calculation.

So, some really smart people came up with a solution called the "trimmed estimator". They look at all the data, but they throw out a few of the really big or really small numbers, like your friend's bad throw. Then they do the calculation without those numbers. This gives us a more accurate answer that is not affected by the outliers.

It's like playing the ball game again, but you agree with your friends that if someone throws the ball really badly, you won't count that throw. That way, you get a fair score that reflects how well you all did.