Describe the properties and limitations of quartile deviation and average deviation.

Quartile Deviation and Average Deviation are both measures of dispersion used in statistics to quantify the spread or variability of a dataset. They provide insights into how individual data points are distributed around the measures of central tendency, such as the mean, median, and mode. However, these measures have distinct properties and limitations that make them suitable for different types of data analysis.

Quartile Deviation: Quartile Deviation, also known as Semi-Interquartile Range, is a measure of dispersion based on the quartiles of a dataset. It represents the spread between the upper quartile (Q3) and the _______ _____ ____ ________ ___ _______ ______ _________ _______.
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