Quartile in Statistics: Detailed overview with solved examples

The post Quartile in Statistics: Detailed overview with solved examples appeared first on finnstats.

If you want to read the original article, click here Quartile in Statistics: Detailed overview with solved examples.

Quartiles are widely used in statistics to divide the given set of values into four equal parts. These four terms of the quartile are used to find the first, second, and third quartile which are widely used in the five-number summary.

The main purpose of the quartile is to calculate the interquartile range of the given set of data. Using the quartile median of the set can also be calculated easily. The interquartile range is used to measure the variability around the median of the given set of data.

In this article, we will go through the definition and formulas of quartile with a lot of examples.

Artificial Intelligence and Data Science » finnstats

What is a quartile?

A term that divides the given set of numbers into four equal parts or quarters is known as a quartile. These four parts are the first quartile, second quartile or median, third quartile, and interquartile. The interquartile range is used to determine the difference between the third and the first quartiles.

To measure the central point of the given set of data second quartile is used which is 50% of the given data. The lower and upper parts or the first and third quartiles are used to get information set before and after the median respectively.

First of all, arrange the given set of data in ascending order then take the middlemost value that is the median. The lower half of the set is the first quartile and the upper half is the third quartile. The difference between the lower and upper half can be identified by using the interquartile range.

Formulas of quartile

There are four basic formulas of the quartile used to find the first, second, third, and inter quartiles.

• For the first quartile or Q₁.

First quartile = Q₁ = ((n + 1) / 4) ^th term

• For the second quartile or Q₂.

Second quartile = Q₂ = ((n + 1) / 2) ^th term

• For the third quartile or Q₃.

Third quartile = Q₃ = (3(n + 1) / 4) ^th term

• For interquartile.

Interquartile = Q₃ – Q₁ = (3(n + 1) / 4) ^th term – ((n + 1) / 4) ^th term

By using the above three formulas for the first, second, and third quartiles, we can write a general formula to calculate the quartile.

Ogive curve in R » Quick Guide » finnstats

Q_k = k (n + 1) / 4) ^th term

Where k = 1, 2, 3

How to calculate quartile?

By using formulas, we can easily calculate quartile.

Example 1

Evaluate all parts of the quartile of the given set of data, 2, 9, 7, 29, 34, 61, 25, 19, 16?

Solution

Step 1: Take the given set of numbers.

2, 9, 7, 29, 34, 61, 25, 19, 16

Step 2: Arrange the given set of numbers according to ascending order.

2, 7, 9, 16, 19, 25, 29, 34, 61

Step 3: Now count the given set of numbers and put it equal to n.

 n = 9

Step 4: Now take the general formula of the quartile to find the first, second, and third quartiles.

Q_k = k (n + 1) / 4) ^th term

Step 5: Put k = 1, 2, 3 one by one to calculate the first, second, and third quartiles.

For k = 1

Q₁ = 1 (9 + 1) / 4) ^th term

Q₁ = 1 (10) / 4) ^th term

Q₁ = (10) / 4) ^th term

Q₁ = (5) / 2) ^th term

Q₁ = 2.5^th term

For k = 2

Q₂ = 2 (9 + 1) / 4) ^th term

Q₂ = 2 (10) / 4) ^th term

Q₂ = (10 / 2) ^th term

Q₂ = 5^th term

For k = 3

Q₃ = 3 (9 + 1) / 4) ^th term

Q₃ = 3 (10) / 4) ^th term

Q₃ = (30 / 4) ^th term

Q₃ = (15 / 2) ^th term

Q₃ = 7.5 ^th term

Step 6: Now take the calculated values from the arranged data set.

For Q₁

Q₁ = 2.5^th term

Q₁ = 2^nd term + 3^rd term / 2

Q₁ = 7 + 9/2

Q₁ = 16/2

Q₁ = 8

For Q₂

Q₂ = 5^th term

Q₂ = 19

For Q₃

Q₃ = 7.5 ^th term

Q₃ = 7^th + 8^th / 2

Q₃ = 29 + 34 / 2

Q₃ = 63/2

Q₃ = 31.5

Step 7: Now take the general formula to calculate interquartile and put the values.

Interquartile = Q₃ – Q₁

Interquartile = 31.5 – 8

Interquartile = 23.5

Hence, the quartiles of the given set are Q₁ = 8. Q₂ = 19, Q₃ = 31.5, and interquartile = 23.5

Intro to Tensorflow-Machine Learning with TensorFlow » finnstats

Example 2

Find the interquartile of the given set of data, 23, 19, 3, 12, 22, 18, 11?

Solution

Step 1: Take the given set of numbers.

23, 19, 3, 12, 22, 18, 11

Step 2: Arrange the given set of numbers according to ascending order.

3, 11, 12, 18, 19, 22, 23

Step 3: Now count the given set of numbers and put it equal to n.

 n = 7

Step 4: Now take the general formula of the interquartile.

Interquartile = Q₃ – Q₁

Step 5: Now calculate the first and third quartile.

For Q₁

Q₁ = (n + 1) / 4) ^th term

Q₁ = (7 + 1) / 4) ^th term

Q₁ = (8) / 4) ^th term

Q₁ = 2^nd term

For Q₃

Q₃ = 3(n + 1) / 4) ^th term

Q₃ = 3(7 + 1) / 4) ^th term

Q₃ = 3(8) / 4) ^th term

Q₃ = (24 / 4) ^th term

Q₃ = 6^th term

Step 6: Put the result of the third and first quartile in the interquartile formula.

Interquartile = 6^th term – 2^nd term

Interquartile = 22 – 11

Interquartile = 11

Summary

Now you can grab all the basic concepts related to quartile just by following this article. All the problems of the quartile can easily be solved by using the above-mentioned formulas. Once you practice the above examples, you will be able to solve any problem related to this topic.

Quartiles in Statistics » finnstats

To read more visit Quartile in Statistics: Detailed overview with solved examples.

If you are interested to learn more about data science, you can find more articles here finnstats.

The post Quartile in Statistics: Detailed overview with solved examples appeared first on finnstats.