Note: The QUARTILE Function, is included for compatibility purposes for older versions of Microsoft Excel. The formula thus calculates the difference between the two. The second part of the formula returns the first quartile, since we specified the number 1. So, the first part of the formula returns the third quartile, since we have specified the number 3. If 4 is specified, then the maximum value is returned. If 3 is specified, then the function returns the third quartile. If 2 is specified, then the function returns the median. If 1 is specified, then the function returns the first quartile. If 0 is specified, then the function returns the minimum value. quart – this is a value between 0 and 4 that indicates what the function should return.array – this is a range of cells or an array containing numeric values.The syntax of the QUARTILE.INC Function is: =QUARTILE.INC(array, quart) The difference between the two gives us the Interquartile Range value. Instead, we have to use QUARTILE.INC Function to return the third quartile and the first quartile in a formula. Let me explain a bit more about how this formula works.Įxcel doesn’t have a function that directly calculates the Interquartile Range. How to Get the Interquartile Range Using the QUARTILE.INC Functionīelow we have a dataset with test scores in cell range B2:B21, and we want to calculate the Interquartile Range in D3. So, let’s get started with a simple example. You can use this measure if you need to overcome sensitivity to outliers in your dataset. This could help you identify which months were more important for your You might look at the IQR over different months to see if there was a clear pattern (i.e., whether the data was more spread out in some months than others). One use case for knowing the IQR would be if you were trying to detect seasonality in your data. The IQR is important because it gives a sense of how “variable” or spread out a set of data is. It’s calculated by subtracting the first quartile (the 25th percentile) from the third quartile (the 75 th percentile). This information can be helpful when trying to identify any unusual spikes or drops in data that may not be due to seasonal or monthly variations. It can be used to measure how much a data set varies around its median value. The Interquartile Range or IQR is used to measure spread and denotes the middle (50%) spread of one’s dataset.
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