Download Interquartile Range Formula Spm Background. Finding the interquartile range (iqr) of a data set. In descriptive statistics, the interquartile range (iqr), also called the midspread, middle 50%, or h‑spread, is a measure of statistical dispersion.

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Before studying interquartile range, we first should study quartiles for they act as a base for the how to calculate the quartiles? The interquartile range is the range covered by the middle 50% of the distribution. The difference between the first quartile and third quartile of a set of data.

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This middle 50 percent of a data set can be used to to calculate it, first order your data points from least to greatest, then determine your first and third quartile positions by using the formulas (n+1)/4. It is defined as the difference between the largest and smallest values in the middle 50% of a set of data. Before determining the interquartile range, we first need to know the values of the. As seen above, the interquartile range is built upon the calculation of other statistics.