Final answer:
It is false that the median and IQR are better for symmetric data. They are both measures that are robust to outliers and can be used effectively for both symmetric and skewed data distributions.
Step-by-step explanation:
The statement 'Median and IQR are better for symmetric data' is false. The median is a measure of central tendency that is used for both symmetric and skewed data distributions. It represents the middle value when a data set is ordered from least to greatest. Although the median is robust to extreme values in a data set, its utility is not limited to symmetric data. The Interquartile Range (IQR) measures the spread of the middle 50% of data values. Like the median, IQR is not specifically designed for symmetric data; it remains a reliable measure of variability for skewed data because it is not influenced by outliers or extreme values.