This topic explores the concepts of quartiles and outlier detection in data sets. It focuses on how to determine the median, first quartile (Q1), and third quartile (Q3), and use these statistics to identify outliers in various numerical data sets. The problems assess the ability to recognize whether a specific data point would be considered an outlier based on the given quartile values and median. This forms part of understanding dispersion and variability within a set of data, an essential concept in probability and statistics that also relates to variance and standard deviation.
Work on practice problems directly here, or download the printable pdf worksheet to practice offline.