When data is arranged in ascending or descending order, it can be divided into various parts by different values such as quartiles, deciles and percentiles. These values are collectively called quantiles and are the extension of median formula which divides data into two equal parts. Since the basic purpose of these partition values is to divide data into different parts therefore a relationship exists between them. This relationship is given below and is elaborated with the help of simple problems.
Problem: In a work study investigation, the times taken by 20 men in a firm to do a particular job were tabulated as follows:
Prove that:
In case of frequency distribution, quartiles can be calculated by using the formula:
In case of frequency distribution, deciles can be calculated by using the formula:
In case of frequency distribution, percentiles can be calculated by using the formula:
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Very good explation, thank you so much
it's such a nice explanation. thank you
how do we find the frequency given just like the value of 90th percentile to be 77.5 in a grouped data.....kindly assist how we go about such comments please?
Thank you so much
I'm now reviewing for our exam and this website is really helpful for everyone especially who wants to know the exact purpose of the elements included. Nice Job?you nailed it. Thank you so much for having this. ?you're much appreciated.
Just consider if the Q1 value is 1and what should we put for c in the above formula as per your problem table
=L+h/f(1/4(N)-C)
1 is the first value of the table what should we put for the preceding value of 1 ie C..
thanks alot the information has real made me one step ahead
woow...what a nice explanation.thanks
Q1 =12.75
Q2 =15.5
Q3 =18.75