Measure of Dispersion
Range, Quantile, Quartile and Percentile:
- Range and Quartile are measure of dispersion or spread of Numerical data in a set.
- Useful in findings outliers in data set.
- Range:
- Range of a data set is calculated by taking the difference of smallest and largest numbers.
- First sort the set and then take the difference of first and last elements.
- Example:
- 1. Data : 20, 30, 12, 8, 50, 70, 100, 2, 40, 90
- Sort the data :
- 2, 8, 12, 20, 30, 40, 50, 70, 90, 100
- Take difference to calculate Range = 100-2 = 98
- 2. Data : 20, 30, -12, 8, 50, 70, 100, -2, 40, 90
- Sort the data :
- -12, -2,8, 20, 30, 40, 50, 70, 90, 100
- Take difference to calculate Range = 100-(-12) = 112
- Quantile:
- Quantiles are data points, at which split the data distribution into equal size consecutive sets.
Here, Q1, Q2 and Q3 are three quantiles.
- Quantiles are point taken at regular intervals of a data distribution, dividing it into essential equal size consecutive sets. [Important point to note down, I have mentioned essential, means not exactly equal sized.]
2-Quantiles:
- Data set divided into two half parts are called 2-Quantile.
- Here, Number of quantile = 1 (1 data point)
4-Quantiles (Quartile):
- Data set divided into four essential equal parts are called 4-Quantile.
- Here, Number of quantiles = 3 (3 data point)
- Each parts represent one quarter of data distribution. All parts are commonly known as Quartile.
Quartile:
- Divide the data distribution into four equal parts, means, each part represents a quarter of data distribution. So, it is called Quartile.
Quartile = 4-Quantiles = 3 Quantiles point
100-Quantiles (Percentile):
- Data set divided into hundred essential equal parts are called 100-Quantile. It is also called Percentile.
Percentile = 100-Quartiles = 99 Quantile points.
So, in Quartile :
- Q1 = 25th Percentile
- Q2 = 50th Percentile = Median
- Q3 = 75th Percentile
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