Partition values or fractiles such a quartile, a decile, etc. are the different sides of the same story. In other words, these are values that divide the same set of observations in differentÂ ways. So, we can fragment these observations into several equal parts. Let’s dig deeper!

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## What is a Quartile?

*Source: pixabay*

Whenever we have an observation and we wish to divide it, there is a chance to do it in different ways. So, we use* Â *the

*Â when a given observation is divided into two parts that are equal.Â*

**median***Likewise, quartiles are values that divide a complete given set of observations into four equal parts.*

**Â**Basically, there are three types of quartiles, first quartile, second quartile, and third quartile. The other name for the first quartile is lower quartile. The representation of the first quartile is ‘Q_{1}.’ The other name for the second quartile is median. The representation of the second quartile is by ‘Q_{2 .}‘Â The other name for the third quartile is the upper quartile. The representation of the third quartile is by ‘Q_{3}.’

**First QuartileÂ**is generally the one-fourth of any sort of observation. However, the point to note here is, this one-fourth value is always less than or equal to ‘Q_{1}.’Â Similarly, it goes for the values of ‘Q_{2}‘ and ‘Q3.’

**Browse more Topics under Measures Of Central Tendency And Dispersion**

- Arithmetic Mean
- Median and Mode
- Harmonic Mean and Geometric Mean
- Measure of Dispersion
- Range and Mean Deviation
- Quartiles, Quartile Deviation and Coefficient of Quartile Deviation
- Standard deviation and Coefficient of Variation

## What are Deciles?

Deciles are those values that divide any set of a given observation into a total of ten equal parts. Therefore, there are a total of nine deciles. These representation of these deciles are as follows – D_{1},Â D_{2}, D_{3}, D_{4}, ……… D_{9}.

D_{1Â }is the typical peak value for which one-tenth (1/10) of any given observation is either less or equal to D_{1}. However, the remaining nine-tenths(9/10) of the same observation is either greater than or equal to the value of D_{1}.

## What do you mean by Percentiles?

Last but not the least, comes the percentiles. The other name for percentiles isÂ *centiles. *AÂ centile or a percentile basically divide any given observation into a total of 100 equal parts.Â The representation of these percentiles or centiles is given as – P_{1},Â P_{2}, P_{3}, P_{4}, ……… P_{99}.

P_{1Â }is the typical peak value for which one-hundredth (1/100) of any given observation is either less or equal to P_{1}. However, the remaining ninety-nine-hundredth(99/100) of the same observation is either greater than or equal to the value of P_{1}. This takes place once all the given observations are arranged in a specific manner i.e. ascending order.

So, in case the data we have doesn’t have a proper classification,Â then the representation of p^{th} quartile is **(n + 1 )p ^{th}**

Here,

**n** = total number of observations.

**p** = 1/4, 2/4, 3/4 for different values ofÂ Q_{1},Â Q_{2},Â and Q_{3} respectively.

**p** = 1/10, 2/10, …. 9/10 for different values of D_{1}, D_{2}, …… D_{9} respectively.

**p** = 1/100, 2/100, ….. 99/100 for different values of P_{1}, P_{2}, ……… P_{99} respectively.

### Formula

At times, the grouping of frequency distribution takes place. For which, we use the following formula during the computation:

**Q = l _{1}_{Â }+ [(N_{p}– N_{i})/(N_{u}-N_{i})] * C**

Here,

**l _{1}** = lower class boundary of the specific class that contains the median.

**N**= less than the cumulative frequency in correspondence toÂ

_{iÂ }**l**(Post Median Class)

_{1Â }**N**= less than the cumulative frequency in correspondence toÂ

_{uÂ }**l**(Pre Median Class)

_{2Â }**C =Â**Length of the median class (

**l**)

_{2Â }–Â l_{1}The symbol ‘p’ has its usual value. The value of ‘p’ varies completely depending on the type of quartile. There are different ways to find values or quartiles. We use this way in a grouped frequency distribution. The best way to do it is by drawing anÂ *ogiveÂ *for the present frequency distribution.

Hence, all that we need to do to find one specific quartile is, find the point and draw a horizontal axis through the same. This horizontal line must pass through N_{p}. The next step is to draw a perpendicular. The perpendicular comes up from the same point of intersection of the ogive and the horizontal line. Hence, the value of the quartile comes from the value of ‘x’ of the given perpendicular line.

## Solved Questions for You!

Question:**Â **Here are the wages of some laborers: Rs. 82, Rs. 56, Rs. 120, Rs. 75, Rs. 80, Rs. 75, Rs. 90, Rs. 50, Rs. 130, Rs. 65. Find the values of Q_{1}, D_{6}, and P_{82}.

Solution:**Â **The wages in ascending order – Rs. 50, Rs. 56, Rs. 65, Rs. 75, Rs. 75, Rs. 80, Rs. 90, R 82, Rs. 90, Rs. 120, Rs. 130

So,

**Q _{1Â }= (n + 1)/4Â **th value

= 2.75th value where n = 10

= 2nd value + 0.75*difference between the 3rd and 2nd value

= Rs. 62.75

**D _{1Â }= **(15 + 1) * 6/10 th value

= 6.60th value

= 6th value + 0.60*difference between the 7th and 6th values

= Rs. 81.20

**P _{1} =Â **(10 + 1) * 82/100th value

= 9.02th value

= 9th value + 0.02*difference b/w the 10th and 9th values

= Rs. 120.20

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