Some possible reasons why someone might choose to report on the interquartile range over the range include: 1. The interquartile range provides a more robust measure of the variability in a dataset compared to the range, as it is based on the middle 50% of the data rather than all of the data. 2. The interquartile range is less sensitive to extreme values or outliers in the data, making it a more reliable measure of variability in some cases. 3. The interquartile range may be more appropriate for skewed or non-normally distributed data where the range may not accurately represent the spread of values. 4. The interquartile range can help identify the presence of outliers or extreme values by focusing on the central portion of the data distribution