Each part contains an equal number of elements. 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 …

May 20, 2022 · The third quartile (Q3, or the upper quartile) is the 75th percentile, meaning that 75% of the data falls below the third quartile. By splitting the data at the 25th, 50th, and 75th …

Jul 24, 2025 · Quartile 3 lies between quartile 2 and the last term. This is the median of the upper half of the data set. It is also known as the 75th percentile because it marks the point where …

Q3 Third quartile: 25% of the data are above this value (aka upper quartile). Quartiles also correspond to percentiles. Q1 is the 25 th percentile, Q2 is the 50 th, and Q3 is the 75 th. The …

Welcome to the quartile calculator, where we'll learn how to calculate quartiles of a dataset. In fact, whenever we have a collection of numbers that we want to understand better using …

In order to find the 3rd quartile, we have to find the median of the data points that are greater than the median that is 9, 9, 10. You can use Cuemath's online quartile calculator to verify your …

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, …

You can find the upper quartile (3rd quartile) by putting the set of data in order, then finding the median value. Once you have found the median value, you need to find the middle value …

The third quartile (Q3) is the value that marks the 75th percentile of a data set. It divides the upper half of the data from the lower three-quarters, meaning 75% of the data points fall below Q3.

Calculating quartiles allows you to identify valuable insights from your dataset, such as median value, data spread, and potential outliers. By following these steps, you can effectively apply …