Question

What does lower quartile mean?

Answers

GPT-4o mini
The lower quartile, also known as the first quartile (Q1), is a statistical measure that represents the value below which 25% of the data in a dataset falls. It effectively divides the lowest quarter of the data from the rest.

To find the lower quartile:

1. **Arrange the data**: Sort the data points in ascending order.
2. **Determine the position**: Use the formula \( Q1 = \frac{(n + 1)}{4} \), where \( n \) is the number of data points. This will give you the position of the first quartile in the sorted list.
3. **Locate the value**: If the position is a whole number, the value at that position is the lower quartile. If it is not a whole number, you average the values at the closest whole numbers.

For example, in the dataset {1, 3, 5, 7, 9}, the lower quartile Q1 would be the value at the position \( \frac{(5 + 1)}{4} = 1.5 \). Thus, Q1 is the average of the first and second values (1 and 3), which gives Q1 = 2.

The lower quartile is useful in descriptive statistics for understanding the distribution of data, particularly in identifying outliers and assessing the spread and center of the dataset.