Respuesta :
Answer:
The data is more spread out so their is a greater variability in the data.
Step-by-step explanation:
The Mean absolute deviation is large, then the data is more spread out and there is greater variability in the data.
What is mean absolute deviation?
Mean absolute deviation is "collected data set is the average of absolute deviations from the center point of the data set".
According to the question,
Formula for Mean absolute deviation = summation of ( absolute value of xₙ - x⁻ divided by number of data values), where ' xₙ' is the input data values and 'x⁻ ' is mean of the given data values .
When the mean absolute deviation is large number then the data spread out more and the variability is greater in data.
Hence, the Mean absolute deviation is large then there is greater variability in the data.
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