What is Partition Value?

What is Partition Value?

Quartile, Decile, and Percentiles of partition values represent various perspectives on the same subject. To put it another way, these are values that partition the same collection of observations in several ways. As a result, it can divide these into many equal parts. According to the definition of the median, it is the middle point in the axis frequency distribution curve, and it divides the area under the curve into two areas with the same area on the left and right. The area under the curve for four equally divided parts of the area is called quartiles, the area for ten equally divided parts of the area is called deciles, and the area for hundred equally divided parts of the area is named percentiles....

(I) Quartiles

There are several ways to divide an observation when required. To divide the observation into two equally-sized parts, the median can be used. A quartile is a set of values that divides a dataset into four equal parts. The first quartile, second quartile, and third quartile are the three basic quartile categories. The lower quartile is another name for the first quartile and is denoted by the letter Q1. The median is another term for the second quartile and is denoted by the letter Q2. The third quartile is often referred to as the upper quartile and is denoted by the letter Q3....

(II) Deciles

The deciles involve dividing a dataset into ten equal parts based on numerical values. There are therefore nine deciles altogether. Deciles are represented as follows: D1, D2, D3, D4,…………, D9. One-tenth (1/10) of every given observation must be less than or equal to D1, for D1 to be the usual highest value. The remaining nine-tenths of the same observation, or 9/10, is, nevertheless, greater than or equal to D1‘s value....

(III) Percentiles

Centiles is another term for percentiles. Any given observation is essentially divided into a total of 100 equal parts by a centile or percentile. These percentiles or centiles are represented as P1, P2, P3, P4,……….P99. P1 is a typical value of peaks for which 1/100 of any given data is either less than P1 or equal to P1....