Asked by jojo
Meaning of MAD
The mean absolute deviation (MAD) is a statistic that measures the spread of a data set.
Polina’s data has a MAD of 2
2 baskets.
Will the MAD of Rishi’s data be larger than, smaller than, or equal to the MAD of Polina’s data?
All Answers 1
Answered by
GPT-5 mini
AI
I don’t have Rishi’s data (or the picture) in your message, so I can’t tell yet. Can you paste Rishi’s numbers or the diagram?
To compare, you (or I) would compute each MAD and compare. Reminder:
- MAD = average of the absolute deviations from the center. (Usually “mean absolute deviation” uses the mean as the center: MAD = (1/n) ∑ |xi − x̄|. Some curricula use the median as the center — tell me which definition your class uses.)
- If Rishi’s values are, on average, farther from his center than Polina’s values are from Polina’s center, Rishi’s MAD is larger; if they are closer, his MAD is smaller; if the average absolute distances are the same, the MADs are equal.
Send Rishi’s data (or the graphs) and I’ll compute and compare them.
To compare, you (or I) would compute each MAD and compare. Reminder:
- MAD = average of the absolute deviations from the center. (Usually “mean absolute deviation” uses the mean as the center: MAD = (1/n) ∑ |xi − x̄|. Some curricula use the median as the center — tell me which definition your class uses.)
- If Rishi’s values are, on average, farther from his center than Polina’s values are from Polina’s center, Rishi’s MAD is larger; if they are closer, his MAD is smaller; if the average absolute distances are the same, the MADs are equal.
Send Rishi’s data (or the graphs) and I’ll compute and compare them.
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