Explain a situation when neither the mean nor the median is a good descriptor for a dataset.(1 point)

Responses

when the dataset is right leaning
when the dataset is right leaning

when the data set is U-shaped
when the data set is U-shaped

when the data set is symmetrically bell-shaped
when the data set is symmetrically bell-shaped

when the dataset is left leaning

1 answer

The best option in this scenario is "when the data set is U-shaped."

In a U-shaped dataset, the distribution of data points often has two modes, leading to a situation where both the mean and median may not accurately represent the central tendency of the data. The mean could be skewed by the extreme values at either end of the "U," while the median may not capture the prominence of the values near the two peaks. This makes neither the mean nor the median effective descriptors of this kind of dataset.