Quartiles in Statistics
We know that the Median divides the data into two equal parts, in the same way, the quartile divides the data into four parts. Similar to the median which divides the data into half so that 50% of the estimation lies below the median and 50% lies above it, the quartile splits the data into i.e.,
- First Part of Data: From smallest to largest of numbers 25% of the value, comes under this part and also this part lies below the first quartile.
- Second of Data: Value between 25% and 50% of the data comes under this part and this part lies between the first and second quartile (Median).
- Third of Data: Value between 50% and 75% of the data comes under this part and this part lies between the second and third quartile.
- Fourth of Data: Greatest 25% of all values in the data comes under the fourth part and this part lies above the fourth quartile.
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
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