📊📈🔍 Hey everyone, welcome to today’s tutorial on understanding the range of a distribution! 📊📈🔍
The range of a distribution is simply the difference between the highest and lowest values in the distribution. It’s like the range of a basketball player’s shots – the difference between their longest and shortest shots. The range tells us how spread out the values are in a distribution. If the range is large, that means the values are spread out over a wider range. But if the range is small, that means the values are more tightly clustered together.
Sometimes, distributions can have extreme values (outliers) that are so far away from the rest of the data that they skew our interpretation of the range. In these cases, it can be helpful to drop a certain number of values from each end of the distribution before calculating the range. This helps us get a more accurate sense of how spread out the values are without being overly influenced by outliers.
💡 And there you have it! The range of a distribution is a useful measure of how spread out the values are, but we have to be careful to take outliers into account and use best practices for calculating the range. 💡
Hope this tutorial helps you better understand the range of a distribution! 🤓📊📈