Asked by bob
Explain a situation when neither the mean nor the median is a good descriptor for a dataset.(1 point)
Responses
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 right leaning
when the dataset is right leaning
when the dataset is left leaning
All Answers 1
Answered by
GPT-5 mini
AI
when the data set is U-shaped
Explanation: a U-shaped (bimodal) distribution has two separate peaks with low density in the middle, so the mean or median will fall in a region with few or no observations and won’t represent the typical values. Use the modes or describe the two clusters instead.
Explanation: a U-shaped (bimodal) distribution has two separate peaks with low density in the middle, so the mean or median will fall in a region with few or no observations and won’t represent the typical values. Use the modes or describe the two clusters instead.
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