Interaction (statistics)
Hey kiddo, let's talk about something called "interaction" in statistics.
So, imagine you have two groups of people. One group is made up of all the boys and the other group is made up of all the girls. Now, you want to see if there is a difference in how much candy they eat.
If you just look at the boys group and the girls group separately, you might see that the boys eat 5 pieces of candy on average and the girls eat 4 pieces of candy on average. But, if you look at both groups together, something interesting might happen.
Let's say you notice that when the boys are in the same room as the girls, they eat less candy. Suddenly, the differences between the boys and the girls averages might not matter anymore because the interaction between the groups changes things completely.
Interaction basically means that when you look at things together, they can affect each other in different ways compared to when you just look at them separately. It's like two Lego pieces fitting together and creating something new.
In statistics, we use interaction to help us better understand how different variables can affect each other and how they can work together to create something new. It's a way of looking at the big picture and not just the individual pieces.
So, imagine you have two groups of people. One group is made up of all the boys and the other group is made up of all the girls. Now, you want to see if there is a difference in how much candy they eat.
If you just look at the boys group and the girls group separately, you might see that the boys eat 5 pieces of candy on average and the girls eat 4 pieces of candy on average. But, if you look at both groups together, something interesting might happen.
Let's say you notice that when the boys are in the same room as the girls, they eat less candy. Suddenly, the differences between the boys and the girls averages might not matter anymore because the interaction between the groups changes things completely.
Interaction basically means that when you look at things together, they can affect each other in different ways compared to when you just look at them separately. It's like two Lego pieces fitting together and creating something new.
In statistics, we use interaction to help us better understand how different variables can affect each other and how they can work together to create something new. It's a way of looking at the big picture and not just the individual pieces.
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