Quartile
Statistic which divides data into four same-sized parts for analysis
Quartile
In statistics, quartiles are a type of quantiles which divide the number of data points into four parts, or quarters, of more-or-less equal size. The data must be ordered from smallest to largest to compute quartiles; as such, quartiles are a form of order statistic. The three quartiles, resulting in four data divisions, are as follows: The first quartile (Q1) is defined as the 25th percentile, where the lowest 25% data lies below this point. It is also known as the lower quartile. The second quartile (Q2) is the median of a data set; thus 50% of the data lies below this point. The third quartile (Q3) is the 75th percentile, where the lowest 75% data lies below this point. It is also known as the upper quartile. Along with the minimum and the maximum of the data (which are also quartiles), the three quartiles described above provide a five-number summary of the data. This summary is important in statistics because it provides information about both the center and the spread of the data...
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