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 …

Another way to explain this method is that we are finding a rank within the data, which can then be used to determine the value of the first, second, or third quartile.

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.

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, …

Jul 24, 2025 · There are three quartiles: Lower or First Quartile (Q1) Quartile 1 lies between the starting term and the middle term. This is the median of the lower half of the data set. It is also known as the …

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

The first quartile (a.k.a. the lower quartile) is a measurement of position in a data set. It is the value that marks one quarter (25%) of data points sorted in ascending order.

May 8, 2025 · The first quartile marks the 25% point where one quarter of data values are below it. The third quartile marks the top 25% point where three quarters of data values are below it.

Nov 4, 2025 · This quartile calculator and interquartile range calculator finds first quartile Q 1, second quartile Q 2 and third quartile Q 3 of a data set. It also finds median, minimum, maximum, and …

Aug 3, 2025 · First quartile: The set of data points between the minimum value and the first quartile. Second quartile: The set of data points between the lower quartile and the median.