Summary – Quartile Formula
Quartiles are statistical values that divide a dataset into four equal parts, each representing 25% of the data. They are essential in understanding the spread and distribution of data, particularly in large datasets. Quartiles help in identifying the central tendency, dispersion, and outliers within a dataset. The three quartiles are the first quartile (Q1), which marks the 25th percentile, the second quartile (Q2) or median, which marks the 50th percentile, and the third quartile (Q3), which marks the 75th percentile.
Quartile Formula
Quartiles are the set of values that divide the data points into four identical values using three individual data points. Thus, a quartile is a very important topic in Statistics that helps us to study large amounts of data, they are used to divide the large data values into four equal quarters. These quartiles show the data that is near the middle points of the large data set.
In this article, we will learn about the quartiles as well as the formulas for the first quartile, second quartile, and third quartile and also provide a step-by-step guide to help you easily calculate quartiles. So, let’s start with the definition of quartile first.
Table of Content
- Quartiles Definition
- What is the Quartile Formula?
- Quartiles in Statistics
- Generalized Formula for Quartile
- Quartile vs Percentile
- Solved Problems on Quartile Formula
- Quartile Formula Practice Probems