Yes, the interquartile range (IQR) is a resistant measure of spread.
IQR is an abbreviation for interquartile range and it can be defined as a measure of the middle 50% of data values when they are ordered from lowest to highest.
Mathematically, interquartile range (IQR) is the difference between quartile 1 (Q₁) and quartile 3 (Q₃):
IQR = Q₃ - Q₁
An outlier is also referred to as anomalous data and it can be defined as a numerical value that is either unusually too small or large (big) in comparison with the overall pattern of the numerical values contained in a data set.
In Statistics and Mathematics, the interquartile range (IQR) is a measure of spread that is very resistant to an outlier.
For example, given the following data set:
1, 2, 3, 4, 5, 6, 7.
Median = 4.
First quartile, Q₁ = 2.
Third quartile, Q₃ = 6.
Thus, the interquartile range (IQR) for the above data set is given by:
IQR = Q₃ - Q₁
IQR = 6 - 2
IQR = 4.
In this context, we can infer and logically deduce that the interquartile range (IQR) is truly a resistant measure of spread.
Read more on interquartile range (IQR) here: https://brainly.com/question/17658705
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