A quartile calculator is a tool that is used to calculate quartiles for a given set of data. Quartiles divide a set of data into four equal parts, each representing 25% of the data.

**Enter Information**

Enter Information:

Quartile 1:

Quartile 2 (median):

Quartile 3:

## What is a quartile?

A quartile calculator is a tool used to calculate the quartile values for a given dataset. Quartiles divide a dataset into four equal parts, each containing 25% of the data. There are three quartiles, denoted as Q1, Q2, and Q3, that are used to describe the distribution of a dataset.

The Quartile Calculator calculates the first quartile, second quartile (also known as the median), and the third quartile. The first quartile (Q1) is the value separating the lowest 25% of the data from the highest 75%. The second quartile (Q2) is the median of the dataset, which separates the lowest 50% from the highest 50%. The third quartile (Q3) is the value separating the lowest 75% of the data from the highest 25%.

To use the Quartile Calculator, simply input the dataset values separated by commas or spaces, and the calculator will provide the quartile values for the dataset.

## Quartile formula

There are different formulas for calculating quartiles, depending on the method used. The most commonly used method is the Tukey method, also known as the 1-3-5 method, which is used by many statistical software programs. The formulas for calculating the quartiles using the Tukey method are:

Q1 = (n+1)/4th value in the ordered dataset Q2 = (n+1)/2nd value in the ordered dataset Q3 = 3(n+1)/4th value in the ordered dataset

where:

- n is the sample size
- Q1 is the first quartile (25th percentile)
- Q2 is the second quartile (50th percentile, also known as the median)
- Q3 is the third quartile (75th percentile)

Note that these formulas assume that the data are already sorted in ascending order. If the dataset is not sorted, you need to sort it before applying these formulas.

## How to calculate quartiles and examples?

To calculate quartiles, follow these steps:

Step 1: Sort the data set in ascending order.

Step 2: Determine the median (Q2) of the data set.

Step 3: Divide the data set into two halves: the lower half (values less than or equal to Q2) and the upper half (values greater than or equal to Q2).

Step 4: Calculate the median (Q1) of the lower half of the data set.

Step 5: Calculate the median (Q3) of the upper half of the data set.

Here’s an example to illustrate how to calculate quartiles:

Example: Calculate the quartiles for the following data set: 7, 8, 4, 6, 2, 9, 5, 3, 1, 10

Step 1: Sort the data set in ascending order: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

Step 2: Determine the median (Q2) of the data set. In this case, Q2 is the average of the two middle values: (5 + 6)/2 = 5.5

Step 3: Divide the data set into two halves: the lower half (values less than or equal to Q2) and the upper half (values greater than or equal to Q2). The lower half of the data set is: 1, 2, 3, 4, 5. The upper half of the data set is: 6, 7, 8, 9, 10.

Step 4: Calculate the median (Q1) of the lower half of the data set. In this case, Q1 is the average of the two middle values of the lower half: (3 + 4)/2 = 3.5

Step 5: Calculate the median (Q3) of the upper half of the data set. In this case, Q3 is the average of the two middle values of the upper half: (8 + 9)/2 = 8.5

Therefore, the quartiles for the data set are:

- Q1 = 3.5
- Q2 = 5.5
- Q3 = 8.5