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Learn how to calculate the interquartile range (IQR), a measure of the spread of the middle half of a data set, with a calculator and examples. Compare the exclusive and inclusive methods and see how to visualize the IQR in boxplots.
Learn how to find and use the interquartile range (IQR), a measure of variability for the middle half of your data. See examples, graphs, and Excel calculations for IQR and related statistics.
Learn how to calculate the interquartile range (IQR) of a data set using the formula IQR = Q3 - Q1, where Q3 is the third quartile and Q1 is the first quartile. See examples, diagrams and quiz on IQR and related concepts.
What is The Interquartile Range Formula? The IQR formula is: IQR = Q 3 – Q 1. Where Q 3 is the upper quartile and Q 1 is the lower quartile.
The formula used to calculate the Interquartile range is: Interquartile range = Upper Quartile (Q3)– Lower Quartile (Q1) Interquartile Range Calculation. There are some steps to be followed to calculate Interquartile Range: Step 1: Arrange the given numbers in the data in ascending order.
The interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data. It is defined as the difference between the 75th and 25th percentiles of the data, and can be used to build box plots, identify outliers, and test normality.
The interquartile range (IQR) is a statistical measure of the middle values of a sample data set that is separated into four equal parts. This middle-value grouping can provide a median range between the upper half and lower half of the data you've collected, allowing you to ignore extreme values.