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The second quartile is known as the median because it represents the middle value of a data set when it is arranged in ascending order. To elaborate, quartiles divide a dataset into four equal parts. The first quartile marks the 25th percentile, the second quartile (the median) marks the 50th percentile, and the third quartile indicates the 75th percentile. The second quartile is particularly crucial in statistical analysis as it effectively divides the dataset into two halves, providing insights into the central tendency and distribution of values. Therefore, understanding that the second quartile specifically signifies the median helps in accurately interpreting and analyzing data sets.