Variance and standard deviation are really useful when you want to see how spread out your data is.

Variance tells you about how much your data varies. It looks at how each number is different from the average. To find variance, you would:

1. Figure out the average of the data.
2. Subtract the average from each number to see how far away it is.
3. Square those differences (multiply them by themselves).
4. Add up all those squared differences.
5. Finally, divide that total by how many numbers you have.

This process might sound complicated, but it helps you understand how different your data points are!

Standard Deviation is a bit simpler. It’s just the square root of the variance. This means it gives you a number that’s easier to relate to because it’s in the same kind of units as your data.

In simple terms:

• Variance = How much the data varies
• Standard Deviation = A clearer number that helps you understand the same idea

Both of these help you see how your data is spread out and can even point out any unusual values that don’t fit with the rest!