An outlier in a distribution is a number that is more than 1.5 times the length of the box away from either the lower or upper quartiles. Speciﬁcally, if a number is less than Q1 – 1.5×IQR or greater than Q3 + 1.5×IQR, then it is an outlier. Interquartile range calculator For interquartile range calculation, please enter numerical data separated with comma (or space, tab, semicolon, or newline). For example: 683.8 879.7 192.6 305.2 285.3 998.0 726.9 287.3 977.3 781.4 515.9 972.9 -854.6. This quartile calculator and interquartile range calculator finds first quartile Q 1, second quartile Q 2 and third quartile Q 3 of a data set. It also finds median, minimum, maximum, and interquartile range. Enter data separated by commas or spaces. You can also copy and paste lines of. About Quartile Calculator. The Quartile Calculator is used to calculate the first quartile, second quartile and third quartile of a set of numbers.
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The Quartile Calculator is used to calculate the first quartile, second quartile and third quartile of a set of numbers.
In descriptive statistics, a quartile, a type of quantile, is one of three points that divide a data set into four equal groups, each representing a fourth of the distributed sampled population. There are three quartiles: the first quartile (Q1), the second quartile (Q2), and the third quartile (Q3). The first quartile, also called the lower quartile, is equal to the data at the 25th percentile of the data. The second (middle) quartile is another name for the median of a data set. The third quartile, also called the upper quartile, is equal to the data at the 75th percentile of the data.
There are several different methods for calculating quartiles. This calculator uses a method described by Moore and McCabe to find quartile values. The same method is also used by the TI-83 to calculate quartile values. With this method, the first quartile is the median of the numbers below the median, and the third quartile is the median of the numbers above the median.
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