The interquartile range, or IQR, is an important way to understand how spread out data is. It helps show how consistent the data points are.
To find the IQR, you take the difference between two key points:
So, the formula looks like this:
IQR = Q3 - Q1
The IQR gives us a good look at the middle 50% of data. This means it helps us see how much the data varies without being affected by extreme values, also known as outliers.
For example, if one group of data has an IQR of 10 and another group has an IQR of 2, the second group is more consistent.
A smaller IQR means the data points are closer together and not very spread out.
On the other hand, a larger IQR shows that the data points are more spread out and could be less reliable.
In short, the IQR helps us understand how much the data varies and how reliable it is!
The interquartile range, or IQR, is an important way to understand how spread out data is. It helps show how consistent the data points are.
To find the IQR, you take the difference between two key points:
So, the formula looks like this:
IQR = Q3 - Q1
The IQR gives us a good look at the middle 50% of data. This means it helps us see how much the data varies without being affected by extreme values, also known as outliers.
For example, if one group of data has an IQR of 10 and another group has an IQR of 2, the second group is more consistent.
A smaller IQR means the data points are closer together and not very spread out.
On the other hand, a larger IQR shows that the data points are more spread out and could be less reliable.
In short, the IQR helps us understand how much the data varies and how reliable it is!