Concept:
Central tendency and partition values (like quartiles) describe the distribution and positioning of data points within a sorted dataset.
Step 1: Evaluate Statement A and D.
Statement A is correct. Quartiles ($Q_1, Q_2, Q_3$) split a ranked dataset into four equal groups, each containing 25% of the observations. Statement D is also correct; the Inter-Quartile Range (IQR) is mathematically defined as $Q_3 - Q_1$.
Step 2: Evaluate Statement B.
This is incorrect. The lower quartile ($Q_1$) is the median of the lower half of the data. It is the mid-way point between the lower extreme (minimum) and the median, not the mean.
Step 3: Evaluate Statement C.
This is incorrect. While the upper quartile ($Q_3$) is indeed the mid-way point (median) of the upper half of the data, it is specifically the value that separates the 75th percentile. The statement is often considered technically incorrect in rigorous statistics because "mid-way" usually refers to the median of that specific subsection, and the relationship between extremes and quartiles depends on the distribution's shape, not a fixed distance to the median.