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Percentiles are a measure of the relative standing of observation within a data. Percentiles divide a set of observations into 100 equal parts, and percentile scores are frequently used to report results from national standardized tests such as NAT, GAT, etc.
The pth percentile is the value Y(p) in order statistic such that p per cent of the values are less than the value Y(p) and (100-p) per cent of the values are greater Y(p). The 5th percentile is denoted by P5, the 10th by P10 and 95th by P95.
Percentiles for the ungrouped data
To calculate percentiles (a measure of the relative standing of an observation) for the ungrouped data, adopt the following procedure
Order the observation
For the mth percentile, determine the product m.n100. If m.n100 is not an integer, round it up and find the corresponding ordered value and if m.n100 is an integer, say k, then calculate the mean of the Kth and (k+1)th ordered observations.
Example: For the following height data collected from students find the 10th and 95th percentiles. 91, 89, 88, 87, 89, 91, 87, 92, 90, 98, 95, 97, 96, 100, 101, 96, 98, 99, 98, 100, 102, 99, 101, 105, 103, 107, 105, 106, 107, 112.
Solution: The ordered observations of the data are 87, 87, 88, 89, 89, 90, 91, 91, 92, 95, 96, 96, 97, 98, 98, 98, 99, 99, 100, 100, 101, 101, 102, 103, 105, 105, 106, 107, 107, 112.
P10=10×30100=3
So the 10th percentile i.e P10 is 3rd observation in sorted data is 88, means that 10 percent of the observations in data set are less than 88.
P95=95×30100=28.5
29th observation is our 95th percentile i.e. P95=107.
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Percentiles are a measure of the relative standing of observation within a data. Percentiles divide a set of observations into 100 equal parts, and percentile scores are frequently used to report results from national standardized tests such as NAT, GAT, etc.
The pth percentile is the value Y(p) in order statistic such that p per cent of the values are less than the value Y(p) and (100-p) per cent of the values are greater Y(p). The 5th percentile is denoted by P5, the 10th by P10 and 95th by P95.
Percentiles for the ungrouped data
To calculate percentiles (a measure of the relative standing of an observation) for the ungrouped data, adopt the following procedure
Order the observation
For the mth percentile, determine the product m.n100. If m.n100 is not an integer, round it up and find the corresponding ordered value and if m.n100 is an integer, say k, then calculate the mean of the Kth and (k+1)th ordered observations.
Example: For the following height data collected from students find the 10th and 95th percentiles. 91, 89, 88, 87, 89, 91, 87, 92, 90, 98, 95, 97, 96, 100, 101, 96, 98, 99, 98, 100, 102, 99, 101, 105, 103, 107, 105, 106, 107, 112.
Solution: The ordered observations of the data are 87, 87, 88, 89, 89, 90, 91, 91, 92, 95, 96, 96, 97, 98, 98, 98, 99, 99, 100, 100, 101, 101, 102, 103, 105, 105, 106, 107, 107, 112.
P10=10×30100=3
So the 10th percentile i.e P10 is 3rd observation in sorted data is 88, means that 10 percent of the observations in data set are less than 88.
P95=95×30100=28.5
29th observation is our 95th percentile i.e. P95=107.
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