The second quartile (Q2) is the median of a data set; thus 50% of the data lies below this point. The third quartile (Q3) is the 75th percentile, where the lowest 75% data lies below this point.

Aug 3, 2025 · Quartiles are statistical measures that divide a data set into four equal parts, each representing 25% of the observations. By arranging data points in increasing order, you can identify …

Quartiles are the values that divide a list of numbers into quarters. There are different methods, here we use the simple method of splitting...

Jul 24, 2025 · Quartiles divide a data set into four equal parts, each containing 25% of the data. They help to understand the spread and center of the data. As an important concept in statistics, quartiles …

May 20, 2022 · The first quartile (Q1, or the lowest quartile) is the 25th percentile, meaning that 25% of the data falls below the first quartile. The second quartile (Q2, or the median) is the 50th percentile, …

The simple method for finding quartiles is to list the values in your dataset in numeric order. Then find the three values that split your data into quarters, as shown below. Note that quartiles are the values …

A quartile is a quarter of a specific group that has been tested or evaluated in specific ways. The first quartile is the one that scores highest and the fourth quartile scores lowest.

There are three quartiles: The first quartile (Q1) represents the first 1/4 of the data set (25%). The second quartile (Q2) represents the first 2/4 of the data set (50%). The third quartile (Q3) represents …

In statistics, a quartile is an element in a data set, ordered from smallest to largest, that divides the set into four parts, or quarters. The four parts are more or less equal in size, but can vary slightly …

There’s a slight difference between a quarter and quartile. A quarter is the whole slice of pizza, but a quartile is the mark the pizza cutter makes at the end of the slice.